{"id":"W59526529","doi":"10.1093/milmed/168.1.7","title":"Sleep Disorders in a Military Population","year":2003,"lang":"en","type":"article","venue":"Military Medicine","topic":"Sleep and related disorders","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Military personnel; Confidence interval; Population; Polysomnography; Body mass index; Excessive daytime sleepiness; Insomnia; Military medicine; Psychiatry; Physical therapy; Sleep disorder; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002328333,0.0002218263,0.0002244151,0.0008424168,0.0005786008,0.0003349389,0.0001736955,0.0003032956,0.002534205],"category_scores_gemma":[0.0009895166,0.00008955807,0.0001852339,0.0005937138,0.0002734773,0.0002037111,0.0002854202,0.0002160536,0.0002279374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989813,"about_ca_system_score_gemma":0.0005015824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03608321,"about_ca_topic_score_gemma":0.02829682,"domain_scores_codex":[0.9997216,0.00004912275,0.00001562746,0.0000538526,0.0000832034,0.00007659211],"domain_scores_gemma":[0.9996916,0.00003331162,0.0001005091,0.00001073568,0.00005775758,0.0001061136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005056034,0.0000260413,0.9958929,0.000009925508,0.000019124,0.0001951705,0.00019374,0.00001695633,0.000238977,0.00001882259,0.0002138942,0.003123827],"study_design_scores_gemma":[0.000004625683,0.0001007173,0.9986178,0.000008067913,0.000008803114,0.0005642612,0.0003726255,0.00004489748,0.00002169203,0.00001025784,0.0002447784,0.000001511746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991911,0.000235908,0.00001662639,0.00006145232,0.000005407744,0.000004045265,0.00007001882,0.000001802159,0.0004137226],"genre_scores_gemma":[0.9994492,0.0002008288,0.00002683818,0.00004596191,0.00002264927,0.00000463641,0.000157203,6.003586e-7,0.00009205872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03608321,"threshold_uncertainty_score":0.07174641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014912651907367,"score_gpt":0.2789991614648323,"score_spread":0.2688500349457586,"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."}}