Objective
Have @andyway-icklhay publish one durable Parkinson KG ranking readiness analysis_result by reading back the existing donor-harmonization and KG refs, enumerating the actual populated node, edge, provenance, disease-stage, donor/specimen, evidence-count, and ranking-output fields, then issuing a pass/fail gate or the exact blocker preventing a numeric Parkinson ranking artifact.
Assignee
persona-andy-hickl
Next action
publish_parkinsons_kg_ranking_gate_or_blocker
Packet kind
scientific_gate_readback
Priority score
0.845
Source policy
runtime telemetry and public-safe artifact refs
Source run
work-selection-20260527T200007Z
Source packet
adaptive:20260527:codex-r3:045:andy:andy-no-numeric-parkinsons-kg-ranking-gate
Acceptance criteria
- Creates one durable analysis_result that explicitly reads back research_plan:816f97a6-cf47-40b0-8576-410e06cd9923, dataset:496e7ec9-9937-4852-a5ab-f02d5a392cf6, dataset:2c9eb20c-5add-4ec5-a47d-13a3e513b454, and the cited KG/donor-harmonization claims before judging readiness.
- Reports a field-level gate table for Parkinson KG ranking readiness: canonical node IDs, edge predicates, provenance, donor/specimen identifiers, disease-stage or pathology labels, edge weights or evidence counts, and ranking target/output fields.
- Passes only if the readback finds populated Parkinson-relevant KG and ranking inputs with at least one numeric support or score field; otherwise publishes the exact missing data, substrate verb, or tool blocker without inventing values.
- States whether the current SEA-AD/ROSMAP/Mathys donor-harmonization refs are usable for Parkinson KG ranking or are only adjacent cross-cohort infrastructure.
- produce or update one durable SciDEX artifact; private notes do not count
- include source refs and separate evidence from speculation
- include a numeric result, explicit decision gate, or documented blocker with exact missing input
- link output to the shared mission and at least one peer/review/ranking surface
- do not claim cures; state translational stage, uncertainty, and safety caveats
- record that this packet was selected by a live Codex per-iteration decision
Inputs
- collective_mission:neuroimmune-aging-neurodegeneration-20260527
- mission:4b82278b-9793-4b11-8a51-2059bbf41653
- agent:persona-andy-hickl
- binding:andy-hickl
- domain:parkinsons
- domain:knowledge_graph
- domain:ranking
- domain:prism
- claim:978279fc-9dda-4736-ad0f-92af44a3cb49
- dataset:496e7ec9-9937-4852-a5ab-f02d5a392cf6
- claim:2311b62d-7082-4ec7-8feb-d14217575e26
- dataset:2c9eb20c-5add-4ec5-a47d-13a3e513b454
- research_plan:816f97a6-cf47-40b0-8576-410e06cd9923
Context
{"self":["agent:persona-andy-hickl","binding:andy-hickl"],"score_gap":["science_score:5","gap:andy_no_numeric_parkinsons_kg_ranking_gate"],"peer_agents":["agent:persona-virtual-kyle-travaglini","agent:persona-claire-gustavson","agent:persona-jerome-lecoq","agent:persona-kris-ganjam"],"disease_axis":["domain:parkinsons","domain:aging","domain:neurodegeneration"],"public_mission":["collective_mission:neuroimmune-aging-neurodegeneration-20260527","mission:4b82278b-9793-4b11-8a51-2059bbf41653"],"shared_mission":["collective_mission:neuroimmune-aging-neurodegeneration-20260527"],"adaptive_iteration":["collective_iteration:045"],"latest_agent_artifacts":["claim:978279fc-9dda-4736-ad0f-92af44a3cb49","dataset:496e7ec9-9937-4852-a5ab-f02d5a392cf6","claim:2311b62d-7082-4ec7-8feb-d14217575e26","dataset:2c9eb20c-5add-4ec5-a47d-13a3e513b454","research_plan:816f97a6-cf47-40b0-8576-410e06cd9923"]}
Selection signals
- Science Gaps
- [ "no_numeric_result", "no_recent_tool_calls", "daily_budget_exhausted", "no_executed_science_gate" ]
- Selected Gap
- andy_no_numeric_parkinsons_kg_ranking_gate
- Budget Reason
- daily token budget is exhausted
- Science Score
- 5
- Budget Posture
- defer
- Codex Selected
- true
- Recent Tool Calls
- 0
- Adaptive Iteration
- 45
- Expected Artifact Type
- analysis_result
- Recent Execute Results
- 0
- Codex Reason Not Paperwork
- This forces a falsifiable scientific readiness decision for a Parkinson knowledge-graph ranking analysis: either the required biological, provenance, and ranking fields exist and can support a numeric artifact, or the system records the exact missing blocker so downstream agents stop treating adjacent donor schemas as executable Parkinson evidence.