{"id":"W6907710031","doi":"10.25384/sage.22802722","title":"sj-pdf-4-cri-10.1177_25160435231174309 - Supplemental material for Critical vulnerabilities for diversion of controlled substances in the emergency department: Observations and healthcare failure mode and effect analysis","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Safe Handling of Antineoplastic Drugs","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Failure mode and effects analysis; Health care; Vulnerability (computing); Emergency response; Emergency management; Risk management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004306086,0.0001807684,0.0006707517,0.0002592504,0.0009522541,0.00003737371,0.0003580943,0.0001091151,0.001912534],"category_scores_gemma":[0.002895473,0.0001240022,0.0001082179,0.0004278751,0.00009026586,0.0003508048,0.0002367275,0.0002117719,0.000002691948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003699122,"about_ca_system_score_gemma":0.0001542172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017063,"about_ca_topic_score_gemma":0.005804257,"domain_scores_codex":[0.9970745,0.0007859251,0.0009309143,0.0003556636,0.0003703912,0.0004825884],"domain_scores_gemma":[0.9922903,0.006687143,0.0002793082,0.0004068897,0.0002391186,0.00009727119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006633104,0.0002750613,0.8398536,0.004575197,0.001456284,0.00001684937,0.0111188,0.00008437738,0.002600401,0.001201169,0.1295859,0.002599213],"study_design_scores_gemma":[0.0659134,0.003104902,0.6749618,0.004653611,0.00875995,0.00001755842,0.1013087,0.0912324,0.0005644069,0.02294903,0.02505352,0.001480752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268336,0.00195091,0.001412737,0.01358075,0.0005351774,0.002644151,0.05300477,0.00002652977,0.00001133237],"genre_scores_gemma":[0.9909638,0.001752184,0.001281081,0.0001223619,0.0002601492,0.0004042535,0.005078671,0.00001794678,0.0001196135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648919,"threshold_uncertainty_score":0.9989998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09941544272026964,"score_gpt":0.4461658473819886,"score_spread":0.3467504046617189,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}