{"id":"W2060622981","doi":"10.1016/j.ijmedinf.2009.10.001","title":"Decoding the perioperative process breakdowns: A theoretical model and implications for system design","year":2009,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Teamwork; Patient safety; Computer science; Health care; Coding (social sciences); Process (computing); Scope (computer science); Relevance (law); Process management; Engineering","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":[0.01168451,0.001172911,0.0007861557,0.004826047,0.001985696,0.009524181,0.002068605,0.002949497,0.005423617],"category_scores_gemma":[0.1230676,0.001253931,0.001328823,0.003524753,0.003887919,0.01879721,0.004110861,0.003201588,0.001061286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003996008,"about_ca_system_score_gemma":0.01017944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366356,"about_ca_topic_score_gemma":0.006264676,"domain_scores_codex":[0.9891733,0.005272135,0.001061391,0.001479214,0.002220254,0.0007937253],"domain_scores_gemma":[0.9140486,0.06132498,0.00863228,0.006282924,0.00852136,0.001189886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009012981,0.0009433191,0.1009307,0.001115255,0.0002463881,0.0008320475,0.04701374,0.08986624,0.009540489,0.4270678,0.003784282,0.3177583],"study_design_scores_gemma":[0.0001307993,0.0003010912,0.01383187,0.0006620968,0.0001929458,0.0006720931,0.01558686,0.6206579,0.008029499,0.3329854,0.006773072,0.0001764548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1130186,0.000213787,0.8748528,0.004047886,0.00005468426,0.0005061552,0.0003836239,0.0008691176,0.006053446],"genre_scores_gemma":[0.7197583,0.0002040502,0.2779166,0.0002163359,0.00002564794,0.0003882319,0.000456547,0.000142398,0.0008918822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366356,"threshold_uncertainty_score":0.06179434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08630427840402569,"score_gpt":0.4717465409753958,"score_spread":0.38544226257137,"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."}}