{"id":"W6901488222","doi":"10.60692/bknsr-nnp82","title":"\"Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach\"","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Circadian rhythm; Affect (linguistics); Working hours; Sleep (system call); Bivariate analysis; Sleep debt; Multivariate analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0006608437,0.0001394316,0.0003377005,0.0006427622,0.00006347518,0.00002178518,0.0002136552,0.0002205965,0.00005316338],"category_scores_gemma":[0.0000418033,0.0000828039,0.0002342503,0.001818531,0.00005936158,0.00009178059,0.00005822103,0.000161052,0.00008483513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003868079,"about_ca_system_score_gemma":0.00001724234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482509,"about_ca_topic_score_gemma":4.994869e-7,"domain_scores_codex":[0.9985052,0.0001810743,0.0006194997,0.0001283366,0.0003645379,0.0002013484],"domain_scores_gemma":[0.9989582,0.00004699806,0.0004769088,0.0003789932,0.00006352917,0.00007535712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001393767,0.000009037701,0.8108591,0.00003117798,0.002758554,0.00000142045,0.1779456,0.00549038,7.435185e-7,0.0003560372,0.0001005626,0.002308038],"study_design_scores_gemma":[0.001088614,0.00004715027,0.954869,0.0003531616,0.0004377047,0.000004685079,0.01763511,0.02542392,0.00002181428,3.695837e-7,0.000001800764,0.0001166147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902564,0.000003986518,0.001425721,0.0000228662,0.0002530663,0.000234491,0.00006113659,0.00007745115,0.007664884],"genre_scores_gemma":[0.9998536,1.114183e-7,0.00002404244,0.00002538395,0.0000227989,0.00002396984,0.00002416088,0.000007867528,0.00001803591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603104,"threshold_uncertainty_score":0.3376645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890375387644143,"score_gpt":0.2889229680214466,"score_spread":0.2400192141450051,"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."}}