{"id":"W4308281021","doi":"10.1093/sleep/zsac266","title":"Sleep health and race: little-chartered territory","year":2022,"lang":"en","type":"letter","venue":"SLEEP","topic":"Sleep and related disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Sleep (system call); Race (biology); Medicine; Psychology; Psychiatry; Gerontology; Sociology; Computer science","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":[0.002923936,0.0007779881,0.00171015,0.001165337,0.01531558,0.007064943,0.002284344,0.08385712,0.01953953],"category_scores_gemma":[0.01369953,0.0009802212,0.001309496,0.001075288,0.005339504,0.005566373,0.00466094,0.05856522,0.00635936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006596468,"about_ca_system_score_gemma":0.01666083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04728899,"about_ca_topic_score_gemma":0.1362773,"domain_scores_codex":[0.9971528,0.0006387083,0.0002971661,0.0004672765,0.0005560064,0.0008880864],"domain_scores_gemma":[0.9901349,0.003980942,0.0004500621,0.0003032685,0.001145322,0.003985554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005396372,0.00006380847,0.001749869,0.00005336712,0.00001498084,0.003526489,0.0005259045,0.00002959332,0.0001236675,0.004031827,0.9804351,0.009391379],"study_design_scores_gemma":[0.0001672568,0.000101132,0.007443969,0.001205458,0.00006890972,0.003228136,0.006286739,0.0003612881,0.0001580864,0.01763638,0.9632244,0.0001182584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007516501,0.001715562,0.00003525133,0.9770611,0.01445412,0.0000119212,0.00003584534,0.00001236084,0.005922265],"genre_scores_gemma":[0.007262226,0.00177399,0.0001096006,0.9283628,0.03835253,0.00004793215,0.00002330019,0.00003146844,0.02403618],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08385712,"threshold_uncertainty_score":0.09402746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606129685303779,"score_gpt":0.2781566195060927,"score_spread":0.2620953226530549,"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."}}