{"id":"W2938629216","doi":"10.3390/clockssleep1020018","title":"Predictors of Excessive Daytime Sleepiness in Medical Students: A Meta-Regression","year":2019,"lang":"en","type":"review","venue":"Clocks & Sleep","topic":"Sleep and related disorders","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Epworth Sleepiness Scale; Confidence interval; Regression analysis; Sleep (system call); Pittsburgh Sleep Quality Index; Meta-analysis; Excessive daytime sleepiness; Observational study; Psychology; Logistic regression; Demography; Medicine; Clinical psychology; Physical therapy; Sleep quality; Sleep disorder; Internal medicine; Polysomnography; Psychiatry; Insomnia; Statistics","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":[0.01311333,0.003157552,0.01193724,0.00498515,0.0006657762,0.002951493,0.00224049,0.001912682,0.003398471],"category_scores_gemma":[0.02258747,0.001702044,0.06574362,0.005538098,0.0005117613,0.001312373,0.001391491,0.002152633,0.0004578633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482315,"about_ca_system_score_gemma":0.002389289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00794879,"about_ca_topic_score_gemma":0.01006421,"domain_scores_codex":[0.9940936,0.002618856,0.001569357,0.0008841831,0.0005864365,0.0002475487],"domain_scores_gemma":[0.9846478,0.01143999,0.001978987,0.0006938622,0.001044016,0.0001954485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003271043,0.00007288549,0.03039856,0.08755957,0.8659232,0.0002067364,0.00006780406,0.001666852,0.0002834983,0.0001261235,0.000657889,0.009765837],"study_design_scores_gemma":[0.0003957274,0.0002090289,0.01067958,0.004456192,0.9822575,0.0001057929,0.00002716027,0.0008419238,0.0001102086,0.0001465959,0.0007484634,0.00002180257],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03524828,0.9588714,0.002439705,0.0004115228,0.000247857,0.0004366606,0.001770521,0.00009874861,0.0004752593],"genre_scores_gemma":[0.5377967,0.4498086,0.005804026,0.0007970937,0.0003913957,0.001780838,0.002696239,0.00008034281,0.0008447454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01311333,"threshold_uncertainty_score":0.06935072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698161233069396,"score_gpt":0.3985709487886849,"score_spread":0.3515893364579909,"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."}}