{"id":"W4291238048","doi":"10.1093/ije/dyac156","title":"Cohort Profile: The Ontario Health Study (OHS)","year":2022,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa; Cancer Care Ontario; University of Guelph; Public Health Ontario; University of Toronto; Ontario Institute for Cancer Research","funders":"Partenariat Canadien Contre Le Cancer; University of Toronto; Health Canada; Government of Ontario; Ontario Ministry of Health and Long-Term Care; National Institutes of Health; Ontario Institute for Cancer Research; Cancer Care Ontario; Canadian Institutes of Health Research; Genome Canada","keywords":"Library science; Public health; Medicine; Gerontology; History; Sociology; Media studies; Nursing","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":[0.00165349,0.0006435037,0.0008406823,0.00225471,0.003067415,0.001371015,0.001564053,0.0007240798,0.009229628],"category_scores_gemma":[0.004631248,0.000495901,0.001128685,0.007068031,0.0004536572,0.0006523003,0.001532473,0.0009548854,0.001685168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009301946,"about_ca_system_score_gemma":0.0270236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9364172,"about_ca_topic_score_gemma":0.9600536,"domain_scores_codex":[0.9978855,0.0001569873,0.0002071644,0.0003522976,0.0009933946,0.000404565],"domain_scores_gemma":[0.9964436,0.00008323111,0.0004039121,0.0003143309,0.002235617,0.0005193701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001405323,0.0001176787,0.5586088,0.001197312,0.0005714836,0.000216822,0.001792465,0.000331402,0.00125947,0.002049708,0.4045018,0.02794787],"study_design_scores_gemma":[0.000235411,0.00006375954,0.9181016,0.0003154523,0.0001560354,0.0001294037,0.0003991414,0.0002017285,0.00008767882,0.0003029806,0.07995978,0.00004694447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09794964,0.002418003,0.002109065,0.001815256,0.0002152434,0.002981817,0.8633711,0.0002908033,0.02884903],"genre_scores_gemma":[0.3128442,0.002937984,0.006702248,0.00160643,0.0002831433,0.008076282,0.6379639,0.0002453778,0.02934043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06358278,"threshold_uncertainty_score":0.1279144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074423361172146,"score_gpt":0.4654250733486059,"score_spread":0.3579827372313912,"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."}}