{"id":"33ce847f-accf-4bf2-92ee-2a5fec8b7c8b","workspace_slug":"orbital","window_days":7,"window_start":"2026-04-23T00:00:00Z","window_end":"2026-04-30T00:00:00Z","generated_at":"2026-04-29T23:54:27.515431Z","verdict_version":"phase8_v1","overall_posture":"watchful","summary":"This cycle centered on Federated Tiny Training on Everyday Devices, with posture watchful and Civitas caution at low.","top_priorities":["Federated Tiny Training on Everyday Devices","AI for High‑Stakes, High‑Security Domains","Multimodal Omics Analysis Frameworks for Genome Biology"],"top_risks":["Coverage is brittle because the source base is still narrow.","The read leans heavily on one or two amplification actors.","Coverage is brittle because the source base is still narrow.","The read leans heavily on one or two amplification actors.","Coverage is brittle because the source base is still narrow."],"top_opportunities":["Instrument Tighten posture around the governed weak points more directly before using it as a decision signal.","Instrument Deploy a proof-pack against the main approval blocker more directly before using it as a decision signal.","Instrument Reframe Chen Zhang Mental into the buyer proof standard more directly before using it as a decision signal.","Instrument Tighten posture around the governed weak points more directly before using it as a decision signal.","Check whether a commercial wedge sits underneath the apparently neutral update."],"recommended_next_actions":["Instrument Tighten posture around the governed weak points more directly before using it as a decision signal.","Instrument Deploy a proof-pack against the main approval blocker more directly before using it as a decision signal.","Instrument Reframe Chen Zhang Mental into the buyer proof standard more directly before using it as a decision signal.","Instrument Tighten posture around the governed weak points more directly before using it as a decision signal.","Are there commercial interests behind the Federated Tiny Training on Everyday Devices narrative?","Who benefits if Federated Tiny Training on Everyday Devices gains mainstream acceptance?"],"monitor_only_items":["Federated Tiny Training on Everyday Devices: pressure remains low enough for monitor-only tracking.","AI for High‑Stakes, High‑Security Domains: pressure remains low enough for monitor-only tracking.","Multimodal Omics Analysis Frameworks for Genome Biology: pressure remains low enough for monitor-only tracking."],"linked_artifact_count":9,"linked_adjudication_count":0,"linked_proposal_count":0,"confidence_summary":{"confidence_score":33.8,"confidence_band":"low","ambiguity_score":0.0,"data_sparsity_score":0.0,"novelty_risk_score":100.0,"causal_weakness_score":0.0,"uncertainty_score":20.0,"uncertainty_band":"low","summary":"Confidence is low at 33.8/100; uncertainty is low at 20.0/100.","reasons":["Confidence is low because evidence sufficiency is 8.5/100 and corroboration is 0.0/100.","Uncertainty is low because ambiguity/data sparsity combine to 20.0/100."],"factors":[{"name":"evidence_sufficiency","value":8.5,"reason":"Confidence should track how much grounded evidence Orbital actually has."},{"name":"corroboration","value":0.0,"reason":"Independent reinforcement raises confidence."},{"name":"ambiguity","value":0.0,"reason":"Ambiguous or conflicting evidence should raise uncertainty."},{"name":"data_sparsity","value":0.0,"reason":"Thin data should keep confidence bounded."},{"name":"novelty_risk","value":100.0,"reason":"New patterns deserve more caution than recurring ones."},{"name":"causal_weakness","value":0.0,"reason":"Derived or correlative reads should carry extra uncertainty."}]},"audience_reasoning":{"reasoning_version":"phase7_v1","summary":"Audience reasoning lands hardest with Procurement and Operator / CISO; Procurement is currently strongest, while Regulator remains the weakest fit. Early audience posture remains visible for Board, CEO / Founder.","most_relevant_audiences":["Procurement","Operator / CISO"],"highest_urgency_audiences":["Procurement","Operator / CISO"],"early_audiences":["Board","CEO / Founder","Procurement","Regulator","Operator / CISO"],"mature_audiences":[],"developing_audiences":[],"strongest_audience":"Procurement","weakest_audience":"Regulator","audience_deltas":[{"audience_slug":"board","audience_label":"Board","relevance_score":42.5,"relevance_label":"low","relevance_delta":-3.22,"confidence_score":22.1,"confidence_label":"low","confidence_delta":-1.15,"maturity":"early","maturity_score":8.59,"urgency":"low","urgency_score":35.0,"proof_burden":"high","care_score":39.25,"cares_most":false,"declared_signal_count":0,"evidence_signal_count":0,"outcome_signal_count":0,"reasoning_basis":"weak","reasons":[]},{"audience_slug":"ceo_founder","audience_label":"CEO / Founder","relevance_score":46.36,"relevance_label":"medium","relevance_delta":0.64,"confidence_score":24.35,"confidence_label":"low","confidence_delta":1.1,"maturity":"early","maturity_score":9.21,"urgency":"low","urgency_score":34.0,"proof_burden":"medium","care_score":41.01,"cares_most":false,"declared_signal_count":0,"evidence_signal_count":0,"outcome_signal_count":0,"reasoning_basis":"weak","reasons":[]},{"audience_slug":"procurement","audience_label":"Procurement","relevance_score":53.93,"relevance_label":"medium","relevance_delta":8.21,"confidence_score":24.39,"confidence_label":"low","confidence_delta":1.14,"maturity":"early","maturity_score":11.07,"urgency":"low","urgency_score":40.57,"proof_burden":"high","care_score":48.2,"cares_most":true,"declared_signal_count":1,"evidence_signal_count":1,"outcome_signal_count":0,"reasoning_basis":"mixed","reasons":["Aggregated evidence hits: 1 evidence signals and 0 outcome signals."]},{"audience_slug":"regulator","audience_label":"Regulator","relevance_score":38.5,"relevance_label":"low","relevance_delta":-7.22,"confidence_score":21.18,"confidence_label":"low","confidence_delta":-2.07,"maturity":"early","maturity_score":6.79,"urgency":"low","urgency_score":35.0,"proof_burden":"very_high","care_score":36.97,"cares_most":false,"declared_signal_count":0,"evidence_signal_count":0,"outcome_signal_count":0,"reasoning_basis":"weak","reasons":[]},{"audience_slug":"operator_ciso","audience_label":"Operator / CISO","relevance_score":47.29,"relevance_label":"medium","relevance_delta":1.57,"confidence_score":24.24,"confidence_label":"low","confidence_delta":0.99,"maturity":"early","maturity_score":11.79,"urgency":"low","urgency_score":37.29,"proof_burden":"high","care_score":42.95,"cares_most":false,"declared_signal_count":0,"evidence_signal_count":1,"outcome_signal_count":0,"reasoning_basis":"light_evidence","reasons":["Aggregated evidence hits: 1 evidence signals and 0 outcome signals."]}],"strongest_interventions_by_audience":[{"audience_slug":"board","audience_label":"Board","strongest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker"],"weakest_interventions":["Reframe Chen Zhang Mental into the buyer proof standard","Tighten posture around the governed weak points"]},{"audience_slug":"ceo_founder","audience_label":"CEO / Founder","strongest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker"],"weakest_interventions":["Reframe Chen Zhang Mental into the buyer proof standard","Tighten posture around the governed weak points"]},{"audience_slug":"procurement","audience_label":"Procurement","strongest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker"],"weakest_interventions":["Tighten posture around the governed weak points","Reframe Chen Zhang Mental into the buyer proof standard"]},{"audience_slug":"regulator","audience_label":"Regulator","strongest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker"],"weakest_interventions":["Tighten posture around the governed weak points","Reframe Chen Zhang Mental into the buyer proof standard"]},{"audience_slug":"operator_ciso","audience_label":"Operator / CISO","strongest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker"],"weakest_interventions":["Reframe Chen Zhang Mental into the buyer proof standard","Tighten posture around the governed weak points"]}],"learned_intervention_patterns":["Learning posture is neutral: 0 confirming outcome(s), 0 falsifying outcome(s), 0 traction signal(s), and governance history 0/0/0 accepted/rejected/revised."]},"retrospective":{"retrospective_version":"phase8_v1","summary":"Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`. Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0. Intervention learning shows 0 strengthening, 0 traction-bearing, 0 falsified, and 4 stalled intervention thread(s). Promotion retrospect is fragile: useful-source confidence 6.0/100, 0 useful promoted source(s), 4 weak source(s), and 4 narrow reinforcement case(s).","what_we_thought":["Prior call: This cycle centered on STAR and Emerging AI Assurance Signals, with posture watchful and Civitas caution at low."],"what_happened":["This cycle: This cycle centered on Federated Tiny Training on Everyday Devices, with posture watchful and Civitas caution at low.","Decisive evidence: Federated Tiny Training on Everyday Devices carried the strongest cross-lane signal with market-shaping confidence 8.5/100 and Federated Tiny Training on Everyday Devices is spreading through 1 source(s) across 1 lane(s) with a clustered amplification posture...","Audience fit landed strongest with Procurement and weakest with Regulator."],"what_changed":["Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Federated Tiny Training on Everyday Devices","AI for High‑Stakes, High‑Security Domains","Multimodal Omics Analysis Frameworks for Genome Biology","The battlefield leader changed from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0."],"what_strengthened":[],"what_died":["Intervention weakened or died: Tighten posture around the governed weak points.","Intervention weakened or died: Deploy a proof-pack against the main approval blocker.","Intervention weakened or died: Reframe Chen Zhang Mental into the buyer proof standard.","Coverage is brittle because the source base is still narrow.","The read leans heavily on one or two amplification actors.","4 promoted source(s) produced little downstream value."],"what_we_learned":["Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Confidence weakened or uncertainty rose, so operator conviction should stay bounded until the next cycle resolves the gap.","Intervention posture is reinforcing for 0 thread(s) and weakening for 4.","Audience fit is strongest for Procurement and weakest for Regulator.","Early audience posture remains visible for Board, CEO / Founder.","Promotion retrospect is fragile: useful-source confidence 6.0/100, 0 useful promoted source(s), 4 weak source(s), and 4 narrow reinforcement case(s)."],"watch_next":["Federated Tiny Training on Everyday Devices: pressure remains low enough for monitor-only tracking.","AI for High‑Stakes, High‑Security Domains: pressure remains low enough for monitor-only tracking.","Multimodal Omics Analysis Frameworks for Genome Biology: pressure remains low enough for monitor-only tracking."],"confidence_shift":{"direction":"down","current_confidence_score":33.8,"prior_confidence_score":40.4,"current_uncertainty_score":20.0,"prior_uncertainty_score":16.7,"confidence_delta":-6.6,"uncertainty_delta":3.3,"summary":"Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0."},"battlefield_shift":{"direction":"leader_changed","current_leader":"Federated Tiny Training on Everyday Devices","prior_leader":"STAR and Emerging AI Assurance Signals","summary":"The battlefield leader changed from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`."},"intervention_posture":{"strengthened_intervention_count":0,"traction_intervention_count":0,"falsified_intervention_count":0,"stalled_intervention_count":4,"strongest_interventions":[],"weakest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker","Reframe Chen Zhang Mental into the buyer proof standard"],"summary":"Intervention learning shows 0 strengthening, 0 traction-bearing, 0 falsified, and 4 stalled intervention thread(s)."},"retrospective_health_score":86.0},"strongest_evidence_summary":"Federated Tiny Training on Everyday Devices carried the strongest cross-lane signal with market-shaping confidence 8.5/100 and Federated Tiny Training on Everyday Devices is spreading through 1 source(s) across 1 lane(s) with a clustered amplification posture..","strongest_contradiction_summary":"This could still be a mixed signal where one visible lane is louder than the market as a whole.","governed_outcome_summary":"Civitas history for this workspace is low caution with revise rate 0% and hold rate 0%.","linked_artifact_refs":[{"artifact_kind":"ranked_theme","artifact_type":"theme","artifact_id":"eee66c7a-6c11-4524-886a-9c02a4df746c","title":"Federated Tiny Training on Everyday Devices","status":"genuine_market_shift","generated_at":"2026-04-29T23:54:27.323009+00:00","metadata":{"steering_pressure_score":0.0,"market_shaping_confidence_score":8.5}},{"artifact_kind":"ranked_theme","artifact_type":"theme","artifact_id":"1fa3d667-91c6-4f52-b9ab-bb17623668c5","title":"AI for High‑Stakes, High‑Security Domains","status":"genuine_market_shift","generated_at":"2026-04-29T23:54:27.323009+00:00","metadata":{"steering_pressure_score":0.0,"market_shaping_confidence_score":8.5}},{"artifact_kind":"ranked_theme","artifact_type":"theme","artifact_id":"ec37f120-566f-4450-8197-0af2525cfd7a","title":"Multimodal Omics Analysis Frameworks for Genome Biology","status":"genuine_market_shift","generated_at":"2026-04-29T23:54:27.323009+00:00","metadata":{"steering_pressure_score":0.0,"market_shaping_confidence_score":12.9}},{"artifact_kind":"intervention","artifact_type":"message_push","artifact_id":"edbfddd3-6676-4707-bdb1-01dfc7597d6b","title":"Tighten posture around the governed weak points","status":"draft","generated_at":"2026-04-29T06:14:06.861840+00:00","metadata":{"channel":"Operator memo + leadership narrative","audience":"Executive sponsors and governance reviewers"}},{"artifact_kind":"intervention","artifact_type":"pack_deployment","artifact_id":"9d93a3b9-359f-4621-90fc-6e731d57273b","title":"Deploy a proof-pack against the main approval blocker","status":"draft","generated_at":"2026-04-29T06:14:06.861840+00:00","metadata":{"channel":"Executive brief + proof pack","audience":"Procurement, legal, and risk reviewers"}},{"artifact_kind":"intervention","artifact_type":"narrative_shift","artifact_id":"95422960-8627-4738-9fa2-2483cafcf97a","title":"Reframe Chen Zhang Mental into the buyer proof standard","status":"draft","generated_at":"2026-04-29T06:14:06.861840+00:00","metadata":{"channel":"Podcast brief + weekly post sequence","audience":"Executive sponsors and procurement stakeholders"}},{"artifact_kind":"intervention","artifact_type":"message_push","artifact_id":"52c9fc0e-1b18-43f4-975b-661b21bd7edd","title":"Tighten posture around the governed weak points","status":"draft","generated_at":"2026-04-28T06:12:11.909589+00:00","metadata":{"channel":"Operator memo + leadership narrative","audience":"Executive sponsors and governance reviewers"}},{"artifact_kind":"pack","artifact_type":"board_leadership","artifact_id":"368178fe-23da-4211-befd-ff8a1a9c5d37","title":"Board & Leadership Pack — 2026-04-28","status":"ready","generated_at":"2026-04-27T06:03:24.584970+00:00","metadata":{"pack_version":"prompt31_v1"}},{"artifact_kind":"pack","artifact_type":"weekly_narrative","artifact_id":"fa9412f2-5632-4c5c-9b66-223ec6b480b1","title":"Weekly Narrative Pack — 2026-04-28","status":"ready","generated_at":"2026-04-27T06:03:24.563521+00:00","metadata":{"pack_version":"prompt31_v1"}}],"linked_adjudications":[],"linked_proposals":[],"details":{"omega_version":"prompt_s4_v1","retrospective":{"summary":"Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`. Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0. Intervention learning shows 0 strengthening, 0 traction-bearing, 0 falsified, and 4 stalled intervention thread(s). Promotion retrospect is fragile: useful-source confidence 6.0/100, 0 useful promoted source(s), 4 weak source(s), and 4 narrow reinforcement case(s).","what_died":["Intervention weakened or died: Tighten posture around the governed weak points.","Intervention weakened or died: Deploy a proof-pack against the main approval blocker.","Intervention weakened or died: Reframe Chen Zhang Mental into the buyer proof standard.","Coverage is brittle because the source base is still narrow.","The read leans heavily on one or two amplification actors.","4 promoted source(s) produced little downstream value."],"watch_next":["Federated Tiny Training on Everyday Devices: pressure remains low enough for monitor-only tracking.","AI for High‑Stakes, High‑Security Domains: pressure remains low enough for monitor-only tracking.","Multimodal Omics Analysis Frameworks for Genome Biology: pressure remains low enough for monitor-only tracking."],"what_changed":["Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Federated Tiny Training on Everyday Devices","AI for High‑Stakes, High‑Security Domains","Multimodal Omics Analysis Frameworks for Genome Biology","The battlefield leader changed from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0."],"what_happened":["This cycle: This cycle centered on Federated Tiny Training on Everyday Devices, with posture watchful and Civitas caution at low.","Decisive evidence: Federated Tiny Training on Everyday Devices carried the strongest cross-lane signal with market-shaping confidence 8.5/100 and Federated Tiny Training on Everyday Devices is spreading through 1 source(s) across 1 lane(s) with a clustered amplification posture...","Audience fit landed strongest with Procurement and weakest with Regulator."],"what_we_learned":["Orbital's prior call broke: the leader moved from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","Confidence weakened or uncertainty rose, so operator conviction should stay bounded until the next cycle resolves the gap.","Intervention posture is reinforcing for 0 thread(s) and weakening for 4.","Audience fit is strongest for Procurement and weakest for Regulator.","Early audience posture remains visible for Board, CEO / Founder.","Promotion retrospect is fragile: useful-source confidence 6.0/100, 0 useful promoted source(s), 4 weak source(s), and 4 narrow reinforcement case(s)."],"what_we_thought":["Prior call: This cycle centered on STAR and Emerging AI Assurance Signals, with posture watchful and Civitas caution at low."],"confidence_shift":{"summary":"Confidence moved down: 40.4 -> 33.8; uncertainty 16.7 -> 20.0.","direction":"down","confidence_delta":-6.6,"uncertainty_delta":3.3,"prior_confidence_score":40.4,"prior_uncertainty_score":16.7,"current_confidence_score":33.8,"current_uncertainty_score":20.0},"battlefield_shift":{"summary":"The battlefield leader changed from `STAR and Emerging AI Assurance Signals` to `Federated Tiny Training on Everyday Devices`.","direction":"leader_changed","prior_leader":"STAR and Emerging AI Assurance Signals","current_leader":"Federated Tiny Training on Everyday Devices"},"what_strengthened":[],"intervention_posture":{"summary":"Intervention learning shows 0 strengthening, 0 traction-bearing, 0 falsified, and 4 stalled intervention thread(s).","weakest_interventions":["Tighten posture around the governed weak points","Deploy a proof-pack against the main approval blocker","Reframe Chen Zhang Mental into the buyer proof standard"],"strongest_interventions":[],"stalled_intervention_count":4,"traction_intervention_count":0,"falsified_intervention_count":0,"strengthened_intervention_count":0},"retrospective_version":"phase8_v1","retrospective_health_score":86.0},"top_theme_ids":["eee66c7a-6c11-4524-886a-9c02a4df746c","1fa3d667-91c6-4f52-b9ab-bb17623668c5","ec37f120-566f-4450-8197-0af2525cfd7a","673e50a5-61f7-4fb6-9e89-cec3eaa21e37","173abf94-19be-4bef-bbb0-1fff95b68efe"],"top_theme_names":["Federated Tiny Training on Everyday Devices","AI for High‑Stakes, High‑Security Domains","Multimodal Omics Analysis Frameworks for Genome Biology","Safety Instructions as an Attack Surface for LLM Robots","Semantic Disruption in LLM Robots: From Hard Stops to False Alerts"],"promotion_policy":{"governance":{"posture":"challenge_needed","summary":"Promotion governance is challenge_needed: mode balanced, threshold 0.40, concentration risk 100.0/100, usefulness confidence 6.0/100, and Civitas caution low.","warnings":["Promoted-source history is concentrating around `fragility_anti_bs` and should keep challenger promotion pressure high.","Promoted-source history is not broadening the source base enough across distinct themes and corroborating lanes.","4 Search Council auto-promoted source(s) are recommended for quarantine because they only reinforce the dominant cluster without downstream value.","4 domain family/families are in cooldown because they keep resurfacing without useful lift.","Confidence in promoted-source usefulness is still thin, so new admission should stay tightly bounded until more assessable outcomes arrive."],"guardrails":["Beachhead-risk and contradiction-first mission shaping stay active.","Per-mind first-pass cap is bounded at 3 source(s) and is inspectable.","Adaptive thresholding is constrained to [0.38, 0.42] — current threshold is 0.400.","Usefulness-confidence gating is inspectable at 6.0/100 and only applies bounded threshold moves."],"recommendations":["Quarantine weak Search Council auto-promoted sources before the next promotion batch so they stop shaping live ranking, theme generation, and ingestion selection.","Keep cooled domain families out of the next promotion batch unless they arrive with corroboration or multi-mind support.","Pending queue is dominated by `fragility_anti_bs` (100% share). Prefer challenger-mind candidates in the next promotion batch to reduce concentration.","Civitas has no adjudication history for this workspace yet. Governance posture is based entirely on promoted-source quality outcomes. Civitas threshold pressure will engage once the first bundle is adjudicated."],"civitas_informed":false,"challenge_findings":[],"governance_version":"adaptive_governance_v3","civitas_caution_level":"low","civitas_adjudication_count":0,"civitas_challenge_pressure_score":0.0},"adaptive_mode":"balanced","retrospection":{"summary":"Promotion retrospect is fragile: useful-source confidence 6.0/100, 0 useful promoted source(s), 4 weak source(s), and 4 narrow reinforcement case(s).","what_died":["4 promoted source(s) produced little downstream value.","4 promoted source(s) only reinforced narrow clusters.","4 promoted source(s) are quarantine candidates."],"what_we_learned":["Admission confidence is 6.0/100 because assessable history is 4 source(s).","Pending queue still leans toward `fragility_anti_bs`.","Quality posture is weak while concentration posture is high_risk."],"what_strengthened":[],"retrospective_version":"phase8_v1"},"adaptive_hooks":{"posture":"fragile","summary":"Adaptive admission is fragile: usefulness confidence 6.0/100, promotion readiness 0.0/100, and mode balanced.","hook_version":"phase8_v1","bounded_actions":["Beachhead-risk and contradiction-first mission shaping stay active.","Per-mind first-pass cap is bounded at 3 source(s) and is inspectable.","Adaptive thresholding is constrained to [0.38, 0.42] — current threshold is 0.400.","Usefulness-confidence gating is inspectable at 6.0/100 and only applies bounded threshold moves."],"loosening_pressures":["Diversity health is still only 0.0/100."],"tightening_pressures":["Weak-source rate is elevated at 100%.","Concentration risk remains 100.0/100.","Usefulness-confidence score is only 6.0/100."],"promotion_readiness_score":0.0,"usefulness_confidence_score":6.0},"quality_posture":"weak","promotion_readiness_score":0.0,"usefulness_confidence_score":6.0},"audience_reasoning":{"summary":"Audience reasoning lands hardest with Procurement and Operator / CISO; Procurement is currently strongest, while Regulator remains the weakest fit. Early audience posture remains visible for Board, CEO / Founder.","audience_deltas":[{"reasons":[],"urgency":"low","maturity":"early","care_score":39.25,"cares_most":false,"proof_burden":"high","audience_slug":"board","urgency_score":35.0,"audience_label":"Board","maturity_score":8.59,"reasoning_basis":"weak","relevance_delta":-3.22,"relevance_label":"low","relevance_score":42.5,"confidence_delta":-1.15,"confidence_label":"low","confidence_score":22.1,"outcome_signal_count":0,"declared_signal_count":0,"evidence_signal_count":0,"maturity_has_early_signal":true,"maturity_has_mature_signal":false},{"reasons":[],"urgency":"low","maturity":"early","care_score":41.01,"cares_most":false,"proof_burden":"medium","audience_slug":"ceo_founder","urgency_score":34.0,"audience_label":"CEO / Founder","maturity_score":9.21,"reasoning_basis":"weak","relevance_delta":0.64,"relevance_label":"medium","relevance_score":46.36,"confidence_delta":1.1,"confidence_label":"low","confidence_score":24.35,"outcome_signal_count":0,"declared_signal_count":0,"evidence_signal_count":0,"maturity_has_early_signal":true,"maturity_has_mature_signal":false},{"reasons":["Aggregated evidence hits: 1 evidence signals and 0 outcome signals."],"urgency":"low","maturity":"early","care_score":48.2,"cares_most":true,"proof_burden":"high","audience_slug":"procurement","urgency_score":40.57,"audience_label":"Procurement","maturity_score":11.07,"reasoning_basis":"mixed","relevance_delta":8.21,"relevance_label":"medium","relevance_score":53.93,"confidence_delta":1.14,"confidence_label":"low","confidence_score":24.39,"outcome_signal_count":0,"declared_signal_count":1,"evidence_signal_count":1,"maturity_has_early_signal":true,"maturity_has_mature_signal":false},{"reasons":[],"urgency":"low","maturity":"early","care_score":36.97,"cares_most":false,"proof_burden":"very_high","audience_slug":"regulator","urgency_score":35.0,"audience_label":"Regulator","maturity_score":6.79,"reasoning_basis":"weak","relevance_delta":-7.22,"relevance_label":"low","relevance_score":38.5,"confidence_delta":-2.07,"confidence_label":"low","confidence_score":21.18,"outcome_signal_count":0,"declared_signal_count":0,"evidence_signal_count":0,"maturity_has_early_signal":true,"maturity_has_mature_signal":false},{"reasons":["Aggregated 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