{"id":"W6921086829","doi":"10.6084/m9.figshare.24630264.v1","title":"Additional file 1 of “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach\"","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Bivariate analysis; Sleep (system call); Table (database); Circadian rhythm; Working hours; Correlation; Pearson product-moment correlation coefficient","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006593297,0.0001048556,0.0002610259,0.0002360349,0.00003285182,0.00000355791,0.0002258189,0.0001973424,0.9565234],"category_scores_gemma":[0.00166731,0.00007128324,0.0002807939,0.001529945,0.00003316514,0.00001816587,0.00007834971,0.0002133282,0.0001463433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001271316,"about_ca_system_score_gemma":0.00003899925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006425974,"about_ca_topic_score_gemma":0.00001044,"domain_scores_codex":[0.9989955,0.0001155346,0.0002501266,0.0001914784,0.0002856692,0.0001616611],"domain_scores_gemma":[0.9973983,0.001967807,0.0002642878,0.0002508003,0.00005683472,0.00006192626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003500002,0.0001117623,0.0004813439,0.000007548293,0.001580967,0.000003144057,0.000627708,0.0005797051,0.000002444261,0.00001304802,0.9927166,0.003840723],"study_design_scores_gemma":[0.000932079,0.0001676829,0.9757353,0.006934767,0.0004256965,0.000003548848,0.0005090449,0.01047992,0.00003426946,0.00002002833,0.004499994,0.0002576878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.007669823,0.00003081319,4.130017e-7,0.00002003693,0.00002345503,0.0001025841,0.9839599,0.00002088006,0.008172149],"genre_scores_gemma":[0.5726597,3.273516e-7,0.00003301635,0.00001892062,0.00002967807,0.0001135002,0.4270634,0.0000104912,0.00007103068],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9882166,"threshold_uncertainty_score":0.2906846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05185891186569649,"score_gpt":0.3216179019923563,"score_spread":0.2697589901266598,"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."}}