{"id":"W3010321680","doi":"10.1093/annweh/wxaa017","title":"Use of a Canadian Population-Based Surveillance Cohort to Test Relationships Between Shift Work and Breast, Ovarian, and Prostate Cancer","year":2020,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Statistics Canada; McGill University; University of Toronto; Toronto Metropolitan University; Occupational Cancer Research Centre; McMaster University; Cancer Care Ontario; Public Health Ontario","funders":"Institut canadien d'information sur la santé; Social Sciences and Humanities Research Council of Canada; Health Canada; Workplace Safety and Insurance Board","keywords":"Medicine; Cohort; Prostate cancer; Population; Breast cancer; Hazard ratio; Ovarian cancer; Cohort study; Demography; Record linkage; Gynecology; Cancer registry; Oncology; Confidence interval; Incidence (geometry); Cancer; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003838339,0.0005308398,0.0004310596,0.00206497,0.001804239,0.0006252177,0.001128624,0.0002970349,0.001431638],"category_scores_gemma":[0.00567309,0.0003343522,0.0008639091,0.003066708,0.0002832396,0.0002274681,0.0006752033,0.0004225764,0.0002050276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007152778,"about_ca_system_score_gemma":0.02057816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657634,"about_ca_topic_score_gemma":0.9693469,"domain_scores_codex":[0.9980306,0.0003300545,0.00009923625,0.0003158326,0.0009997677,0.0002245382],"domain_scores_gemma":[0.9972826,0.0002070382,0.0003488285,0.0003156742,0.001574018,0.0002718348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002255663,0.00004819252,0.9810634,0.00009423732,0.0003908051,0.00006937143,0.0001857813,0.0005847398,0.0006263252,0.0002906902,0.003137297,0.01328343],"study_design_scores_gemma":[0.00004774826,0.00007303801,0.9958724,0.00002302925,0.0001333207,0.00006091438,0.0001198407,0.00102392,0.0001672919,0.00004587065,0.002421941,0.00001070342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938747,0.001493305,0.009146352,0.0005410736,0.00007833506,0.001815527,0.04041043,0.00020535,0.007562534],"genre_scores_gemma":[0.9686845,0.0007652054,0.00896643,0.0001989883,0.00001669581,0.0007290097,0.01799958,0.00002070113,0.00261892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03423661,"threshold_uncertainty_score":0.06887645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693693371668296,"score_gpt":0.3557272451231371,"score_spread":0.1863579079563075,"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."}}