{"id":"3a672aa0-c148-4b73-8145-7973cb569c92","workspace_slug":"orbital","window_days":7,"window_start":"2026-05-14T00:00:00Z","window_end":"2026-05-21T00:00:00Z","generated_at":"2026-05-20T08:40:02.392276Z","verdict_version":"phase8_v1","overall_posture":"watchful","summary":"This cycle centered on Modular Deep Learning Frameworks for Peptide Property Prediction, with posture watchful and Civitas caution at low.","top_priorities":["Modular Deep Learning Frameworks for Peptide Property Prediction","Haofei-Linked Research on AI Evaluation and Interpretability","Physics-Informed AI for More Reliable Chemical Predictions"],"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 Haofei-Centered Research Mentions in Recent AI Literature 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 Haofei-Centered Research Mentions in Recent AI Literature 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 Modular Deep Learning Frameworks for Peptide Property Prediction narrative?","Who benefits if Modular Deep Learning Frameworks for Peptide Property Prediction gains mainstream acceptance?"],"monitor_only_items":["Modular Deep Learning Frameworks for Peptide Property Prediction: pressure remains low enough for monitor-only tracking.","Haofei-Linked Research on AI Evaluation and Interpretability: pressure remains low enough for monitor-only tracking.","Physics-Informed AI for More Reliable Chemical Predictions: pressure remains low enough for monitor-only tracking."],"linked_artifact_count":10,"linked_adjudication_count":1,"linked_proposal_count":0,"confidence_summary":{"confidence_score":35.8,"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 35.8/100; uncertainty is low at 20.0/100.","reasons":["Confidence is low because evidence sufficiency is 12.9/100 and corroboration is 0.0/100.","Uncertainty is low because ambiguity/data sparsity combine to 20.0/100."],"factors":[{"name":"evidence_sufficiency","value":12.9,"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 CEO / Founder; Procurement is currently strongest, while Regulator remains the weakest fit. Early audience posture remains visible for Board, CEO / Founder.","most_relevant_audiences":["Procurement","CEO / Founder"],"highest_urgency_audiences":["Procurement","Board"],"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":-2.92,"confidence_score":31.31,"confidence_label":"low","confidence_delta":-0.91,"maturity":"early","maturity_score":9.85,"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":49.07,"relevance_label":"medium","relevance_delta":3.65,"confidence_score":33.82,"confidence_label":"low","confidence_delta":1.6,"maturity":"early","maturity_score":11.48,"urgency":"low","urgency_score":35.0,"proof_burden":"medium","care_score":42.96,"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":57.29,"relevance_label":"medium","relevance_delta":11.87,"confidence_score":34.45,"confidence_label":"low","confidence_delta":2.23,"maturity":"early","maturity_score":14.33,"urgency":"low","urgency_score":40.29,"proof_burden":"high","care_score":49.87,"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":36.79,"relevance_label":"low","relevance_delta":-8.63,"confidence_score":30.05,"confidence_label":"low","confidence_delta":-2.17,"maturity":"early","maturity_score":6.42,"urgency":"low","urgency_score":35.0,"proof_burden":"very_high","care_score":36.03,"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":41.43,"relevance_label":"low","relevance_delta":-3.99,"confidence_score":31.45,"confidence_label":"low","confidence_delta":-0.77,"maturity":"early","maturity_score":9.85,"urgency":"low","urgency_score":34.0,"proof_burden":"high","care_score":38.24,"cares_most":false,"declared_signal_count":0,"evidence_signal_count":0,"outcome_signal_count":0,"reasoning_basis":"weak","reasons":[]}],"strongest_interventions_by_audience":[{"audience_slug":"board","audience_label":"Board","strongest_interventions":["Deploy a proof-pack against the main approval blocker","Tighten posture around the governed weak points"],"weakest_interventions":["Reframe Haofei-Centered Research Mentions in Recent AI Literature into the buyer proof standard","Tighten posture around the governed weak points"]},{"audience_slug":"ceo_founder","audience_label":"CEO / Founder","strongest_interventions":["Deploy a proof-pack against the main approval blocker","Tighten posture around the governed weak points"],"weakest_interventions":["Reframe Haofei-Centered Research Mentions in Recent AI Literature into the buyer proof standard","Tighten posture around the governed weak points"]},{"audience_slug":"procurement","audience_label":"Procurement","strongest_interventions":["Deploy a proof-pack against the main approval blocker","Reframe Haofei-Centered Research Mentions in Recent AI Literature into the buyer proof standard"],"weakest_interventions":["Tighten posture around the governed weak points"]},{"audience_slug":"regulator","audience_label":"Regulator","strongest_interventions":["Deploy a proof-pack against the main approval blocker","Reframe Haofei-Centered Research Mentions in Recent AI Literature into the buyer proof standard"],"weakest_interventions":["Tighten posture around the governed weak points"]},{"audience_slug":"operator_ciso","audience_label":"Operator / CISO","strongest_interventions":["Deploy a proof-pack against the main approval blocker","Tighten posture around the governed weak points"],"weakest_interventions":["Reframe Haofei-Centered Research Mentions in Recent AI Literature into the buyer proof standard","Tighten posture around the governed weak points"]}],"learned_intervention_patterns":["Learning posture is drag: 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 `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`. Confidence moved flat: 39.6 -> 35.8; uncertainty 15.0 -> 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 43.2/100, 0 useful promoted source(s), 10 weak source(s), and 10 narrow reinforcement case(s).","what_we_thought":["Prior call: This cycle centered on Haofei-Centered Research Mentions in Recent AI Literature, with posture watchful and Civitas caution at low."],"what_happened":["This cycle: This cycle centered on Modular Deep Learning Frameworks for Peptide Property Prediction, with posture watchful and Civitas caution at low.","Decisive evidence: Modular Deep Learning Frameworks for Peptide Property Prediction carried the strongest cross-lane signal with market-shaping confidence 12.9/100 and Modular Deep Learning Frameworks for Peptide Property Prediction 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 `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`.","Modular Deep Learning Frameworks for Peptide Property Prediction","Haofei-Linked Research on AI Evaluation and Interpretability","Physics-Informed AI for More Reliable Chemical Predictions","The battlefield leader changed from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`."],"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 Haofei-Centered Research Mentions in Recent AI Literature 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.","10 promoted source(s) produced little downstream value."],"what_we_learned":["Orbital's prior call broke: the leader moved from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`.","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 43.2/100, 0 useful promoted source(s), 10 weak source(s), and 10 narrow reinforcement case(s)."],"watch_next":["Modular Deep Learning Frameworks for Peptide Property Prediction: pressure remains low enough for monitor-only tracking.","Haofei-Linked Research on AI Evaluation and Interpretability: pressure remains low enough for monitor-only tracking.","Physics-Informed AI for More Reliable Chemical Predictions: pressure remains low enough for monitor-only tracking."],"confidence_shift":{"direction":"flat","current_confidence_score":35.8,"prior_confidence_score":39.6,"current_uncertainty_score":20.0,"prior_uncertainty_score":15.0,"confidence_delta":-3.8,"uncertainty_delta":5.0,"summary":"Confidence moved flat: 39.6 -> 35.8; uncertainty 15.0 -> 20.0."},"battlefield_shift":{"direction":"leader_changed","current_leader":"Modular Deep Learning Frameworks for Peptide Property Prediction","prior_leader":"Haofei-Centered Research Mentions in Recent AI Literature","summary":"The battlefield leader changed from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`."},"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 Haofei-Centered Research Mentions in Recent AI Literature 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":82.0},"strongest_evidence_summary":"Modular Deep Learning Frameworks for Peptide Property Prediction carried the strongest cross-lane signal with market-shaping confidence 12.9/100 and Modular Deep Learning Frameworks for Peptide Property Prediction 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":"09e59713-7500-4508-b09d-5554febfe6bd","title":"Modular Deep Learning Frameworks for Peptide Property Prediction","status":"genuine_market_shift","generated_at":"2026-05-20T08:40:01.949181+00:00","metadata":{"steering_pressure_score":0.0,"market_shaping_confidence_score":12.9}},{"artifact_kind":"ranked_theme","artifact_type":"theme","artifact_id":"02251c16-4699-4ff7-b3e0-4b7173d6b8a9","title":"Haofei-Linked Research on AI Evaluation and Interpretability","status":"genuine_market_shift","generated_at":"2026-05-20T08:40:01.949181+00:00","metadata":{"steering_pressure_score":0.0,"market_shaping_confidence_score":21.5}},{"artifact_kind":"ranked_theme","artifact_type":"theme","artifact_id":"4d44de94-70ca-48a0-85c7-992967662174","title":"Physics-Informed AI for More Reliable Chemical 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Confidence moved flat: 39.6 -> 35.8; uncertainty 15.0 -> 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 43.2/100, 0 useful promoted source(s), 10 weak source(s), and 10 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 Haofei-Centered Research Mentions in Recent AI Literature 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.","10 promoted source(s) produced little downstream value."],"watch_next":["Modular Deep Learning Frameworks for Peptide Property Prediction: pressure remains low enough for monitor-only tracking.","Haofei-Linked Research on AI Evaluation and Interpretability: pressure remains low enough for monitor-only tracking.","Physics-Informed AI for More Reliable Chemical Predictions: pressure remains low enough for monitor-only tracking."],"what_changed":["Orbital's prior call broke: the leader moved from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`.","Modular Deep Learning Frameworks for Peptide Property Prediction","Haofei-Linked Research on AI Evaluation and Interpretability","Physics-Informed AI for More Reliable Chemical Predictions","The battlefield leader changed from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`."],"what_happened":["This cycle: This cycle centered on Modular Deep Learning Frameworks for Peptide Property Prediction, with posture watchful and Civitas caution at low.","Decisive evidence: Modular Deep Learning Frameworks for Peptide Property Prediction carried the strongest cross-lane signal with market-shaping confidence 12.9/100 and Modular Deep Learning Frameworks for Peptide Property Prediction 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 `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`.","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 43.2/100, 0 useful promoted source(s), 10 weak source(s), and 10 narrow reinforcement case(s)."],"what_we_thought":["Prior call: This cycle centered on Haofei-Centered Research Mentions in Recent AI Literature, with posture watchful and Civitas caution at low."],"confidence_shift":{"summary":"Confidence moved flat: 39.6 -> 35.8; uncertainty 15.0 -> 20.0.","direction":"flat","confidence_delta":-3.8,"uncertainty_delta":5.0,"prior_confidence_score":39.6,"prior_uncertainty_score":15.0,"current_confidence_score":35.8,"current_uncertainty_score":20.0},"battlefield_shift":{"summary":"The battlefield leader changed from `Haofei-Centered Research Mentions in Recent AI Literature` to `Modular Deep Learning Frameworks for Peptide Property Prediction`.","direction":"leader_changed","prior_leader":"Haofei-Centered Research Mentions in Recent AI Literature","current_leader":"Modular Deep Learning Frameworks for Peptide Property Prediction"},"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 Haofei-Centered Research Mentions in Recent AI Literature 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":82.0},"top_theme_ids":["09e59713-7500-4508-b09d-5554febfe6bd","02251c16-4699-4ff7-b3e0-4b7173d6b8a9","4d44de94-70ca-48a0-85c7-992967662174","3c3ac9f6-e47f-484d-b30b-d801bd8145d4","25ee6532-c452-4b7e-87c4-66f9e8f8ff7f"],"top_theme_names":["Modular Deep Learning Frameworks for Peptide Property Prediction","Haofei-Linked Research on AI Evaluation and Interpretability","Physics-Informed AI for More Reliable Chemical Predictions","MIT’s Cross-Department AI–Science Ecosystem","AI-Driven Design of Automated Chemical Reactions"],"promotion_policy":{"governance":{"posture":"challenge_needed","summary":"Promotion governance is challenge_needed: mode stricter, threshold 0.42, concentration risk 56.8/100, usefulness confidence 43.2/100, and Civitas caution low.","warnings":["Promoted-source history is not broadening the source base enough across distinct themes and corroborating lanes.","10 Search Council auto-promoted source(s) are recommended for quarantine because they only reinforce the dominant cluster without downstream value.","9 domain family/families are in cooldown because they keep resurfacing without useful lift."],"guardrails":["Beachhead-risk and contradiction-first mission shaping stay active.","Per-mind first-pass cap is bounded at 2 source(s) and is inspectable.","Adaptive thresholding is constrained to [0.38, 0.42] — current threshold is 0.420.","Stricter mode is active: promotion threshold and concentration cap are tightened from base.","Usefulness-confidence gating is inspectable at 43.2/100 and only applies bounded threshold moves."],"recommendations":["Weak-source rate remains high in stricter mode. Audit and archive promoted sources flagged as no_meaningful_downstream_value before promoting new candidates.","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."],"civitas_informed":true,"challenge_findings":[],"governance_version":"adaptive_governance_v3","civitas_caution_level":"low","civitas_adjudication_count":15,"civitas_challenge_pressure_score":0.0},"adaptive_mode":"stricter","retrospection":{"summary":"Promotion retrospect is fragile: useful-source confidence 43.2/100, 0 useful promoted source(s), 10 weak source(s), and 10 narrow reinforcement case(s).","what_died":["10 promoted source(s) produced little downstream value.","10 promoted source(s) only reinforced narrow clusters.","10 promoted source(s) are quarantine candidates."],"what_we_learned":["Admission confidence is 43.2/100 because assessable history is 10 source(s).","Pending queue still leans toward `pricing_value`.","Quality posture is weak while concentration posture is watch."],"what_strengthened":[],"retrospective_version":"phase8_v1"},"adaptive_hooks":{"posture":"fragile","summary":"Adaptive admission is fragile: usefulness confidence 43.2/100, promotion readiness 6.0/100, and mode stricter.","hook_version":"phase8_v1","bounded_actions":["Beachhead-risk and contradiction-first mission shaping stay active.","Per-mind first-pass cap is bounded at 2 source(s) and is inspectable.","Adaptive thresholding is constrained to [0.38, 0.42] — current threshold is 0.420.","Stricter mode is active: promotion threshold and concentration cap are tightened from base."],"loosening_pressures":["Diversity health is still only 0.0/100."],"tightening_pressures":["Weak-source rate is elevated at 100%.","Concentration risk remains 56.8/100.","Usefulness-confidence score is only 43.2/100."],"promotion_readiness_score":6.05,"usefulness_confidence_score":43.18},"quality_posture":"weak","promotion_readiness_score":6.05,"usefulness_confidence_score":43.18},"audience_reasoning":{"summary":"Audience reasoning lands hardest with Procurement and CEO / Founder; 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":9.85,"reasoning_basis":"weak","relevance_delta":-2.92,"relevance_label":"low","relevance_score":42.5,"confidence_delta":-0.91,"confidence_label":"low","confidence_score":31.31,"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":42.96,"cares_most":false,"proof_burden":"medium","audience_slug":"ceo_founder","urgency_score":35.0,"audience_label":"CEO / 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