{"id":"W4205916046","doi":"10.1002/9781119307426.ch15","title":"Accident and Error Management","year":2022,"lang":"en","type":"other","venue":"","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Near miss; Adverse effect; Event (particle physics); Foundation (evidence); Risk analysis (engineering); Computer science; Medicine; Engineering; Forensic engineering; History","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":[],"consensus_categories":[],"category_scores_codex":[0.008453541,0.0009691553,0.0006548423,0.004430769,0.004098203,0.007919169,0.001565386,0.004195228,0.0221492],"category_scores_gemma":[0.02632855,0.0003367044,0.0006133126,0.003352298,0.004595183,0.005576693,0.005154454,0.003043333,0.006757534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003810322,"about_ca_system_score_gemma":0.00889344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262132,"about_ca_topic_score_gemma":0.00441906,"domain_scores_codex":[0.98632,0.005196725,0.001335692,0.0007902581,0.005582021,0.0007753376],"domain_scores_gemma":[0.9804327,0.009415043,0.001947874,0.001202858,0.005717302,0.001284279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005403685,0.00009881078,0.003914689,0.001369878,0.00004817853,0.0007138462,0.004713098,0.001669539,0.0002397575,0.2327744,0.2171234,0.5372803],"study_design_scores_gemma":[0.000007912998,0.00009823353,0.002725385,0.002063844,0.00002361119,0.002025054,0.003664262,0.0007989338,0.0002642953,0.09601787,0.8922592,0.00005135162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008151739,0.2197233,0.08182743,0.17007,0.01850922,0.0005241651,0.0006375048,0.001336311,0.4992203],"genre_scores_gemma":[0.2366952,0.351364,0.08320691,0.04541731,0.01946449,0.0009962891,0.00105058,0.0005923745,0.2612128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0221492,"threshold_uncertainty_score":0.0740965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06743774543359676,"score_gpt":0.4410457800699564,"score_spread":0.3736080346363597,"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."}}