{"id":"W2073783291","doi":"10.1061/9780784413609.273","title":"Human Error—Case Studies","year":2014,"lang":"en","type":"article","venue":"","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Nicolet Chartrand Knoll (Canada)","funders":"","keywords":"Variety (cybernetics); Process (computing); Computer science; Human error; Risk analysis (engineering); Basis (linear algebra); Computer security; Artificial intelligence; Mathematics; Medicine; Programming language","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":[0.005263955,0.0005189288,0.0003974766,0.002908239,0.003237789,0.001464969,0.00170976,0.00381637,0.002386269],"category_scores_gemma":[0.02753348,0.000411311,0.0005662539,0.002975574,0.00254095,0.001841092,0.002890237,0.001567263,0.0005747514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474008,"about_ca_system_score_gemma":0.0008909417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744472,"about_ca_topic_score_gemma":0.00711479,"domain_scores_codex":[0.9913516,0.005727017,0.0007167908,0.0003538069,0.001257062,0.0005937482],"domain_scores_gemma":[0.9723786,0.02202346,0.002344056,0.001256252,0.001451143,0.0005465163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.002892497,0.009021061,0.1694129,0.008584465,0.0004873973,0.3180513,0.1824395,0.01505492,0.002845335,0.03429702,0.03051838,0.2263952],"study_design_scores_gemma":[0.0005190846,0.005863962,0.08262011,0.008319437,0.0003851741,0.3038489,0.2127922,0.005094983,0.007632393,0.01895644,0.3536559,0.0003113319],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462546,0.01432824,0.005810245,0.002170571,0.000250457,0.001249529,0.000363257,0.00003487222,0.02953832],"genre_scores_gemma":[0.9813778,0.008309018,0.004759007,0.0006758628,0.0001146943,0.0005533801,0.0001852012,0.00001556123,0.004009621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005263955,"threshold_uncertainty_score":0.02783877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3454206334458926,"score_gpt":0.6303654645879654,"score_spread":0.2849448311420728,"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."}}