{"id":"W6945301199","doi":"10.25384/sage.22802716.v1","title":"sj-pdf-2-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":"Figshare","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00215511,0.0008871999,0.0006445057,0.003291656,0.0009006097,0.002612022,0.002039913,0.001994753,0.8834481],"category_scores_gemma":[0.02032602,0.0009075584,0.0009672582,0.002854869,0.0003463984,0.002340004,0.002016378,0.001363772,0.56599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419331,"about_ca_system_score_gemma":0.002573685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021625,"about_ca_topic_score_gemma":0.01575124,"domain_scores_codex":[0.9986752,0.0001396552,0.0001095437,0.0001219133,0.0008177735,0.0001359933],"domain_scores_gemma":[0.9808071,0.01065667,0.0009194575,0.001134203,0.005617803,0.0008647349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006820406,0.00006366667,0.0008202835,0.0002575261,0.00001011649,0.0000538494,0.00003578242,0.0002441483,0.0002372017,0.0007802695,0.9831349,0.01429415],"study_design_scores_gemma":[0.000213879,0.00009508523,0.008136089,0.0006670762,0.00002818627,0.0002016468,0.000197521,0.0009661978,0.001242066,0.003849322,0.984344,0.00005891591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001648035,0.0002492062,0.007840347,0.002345049,0.0009915697,0.0006943801,0.7779182,0.02334258,0.1849707],"genre_scores_gemma":[0.02008246,0.0008857106,0.02084907,0.00298353,0.0008585314,0.001352079,0.586433,0.02145324,0.3451023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8834481,"threshold_uncertainty_score":0.1662472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07191755386952346,"score_gpt":0.4086218177233186,"score_spread":0.3367042638537951,"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."}}