{"id":"W2341308216","doi":"10.1093/ije/dyw030","title":"Cohort Profile: The ONtario Population Health and Environment Cohort (ONPHEC)","year":2016,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; Environment and Climate Change Canada; Carleton University; McGill University Health Centre; McGill University; Institute for Clinical Evaluative Sciences; Public Health Ontario; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"Cohort; Medicine; Cohort study; Population; Environmental health; Demography; Internal medicine","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":[0.001163175,0.0007214858,0.0008590729,0.002313333,0.001761631,0.001011954,0.001729113,0.0008168055,0.007381377],"category_scores_gemma":[0.003262104,0.000545489,0.001225824,0.005927539,0.0002640777,0.0006005561,0.001443622,0.0007445872,0.001780195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006353722,"about_ca_system_score_gemma":0.01474657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9338356,"about_ca_topic_score_gemma":0.9642576,"domain_scores_codex":[0.9988853,0.00009195029,0.0001019902,0.0001873135,0.0004215888,0.0003118819],"domain_scores_gemma":[0.997373,0.00005065374,0.0003600285,0.0002612131,0.001539663,0.0004154393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007844109,0.00008670129,0.8739616,0.0002367526,0.0003933485,0.0001731092,0.0004150435,0.0002435862,0.0005511141,0.0004333587,0.115739,0.006981993],"study_design_scores_gemma":[0.000113533,0.00003547147,0.9800941,0.00005316785,0.00009682192,0.00006462199,0.0002075114,0.0001597804,0.00006068758,0.00006308674,0.01903366,0.00001746429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2173877,0.0007345775,0.0009327894,0.0006574814,0.0001148347,0.00103336,0.768499,0.0001323912,0.01050782],"genre_scores_gemma":[0.3682436,0.001140101,0.002241887,0.0007588265,0.0001118463,0.002619887,0.590932,0.0001263766,0.03382554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06616437,"threshold_uncertainty_score":0.133108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0623388833178577,"score_gpt":0.3596660299300349,"score_spread":0.2973271466121772,"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."}}