{"id":"W2130379092","doi":"10.1080/15287390306428","title":"Controlling for Potential Confounding by Occupational Exposures","year":2003,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Institute of Population and Public Health; University of Ottawa; Université de Montréal","funders":"","keywords":"Confounding; Covariate; Environmental health; Occupational exposure; Variables; Occupational safety and health; Medicine; Psychology; Statistics; Mathematics","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":[0.0551566,0.001448833,0.0019651,0.001784633,0.001341725,0.001696157,0.002246604,0.001284868,0.001788991],"category_scores_gemma":[0.1147184,0.0008433688,0.0038356,0.003598915,0.001208817,0.001052489,0.001906511,0.002120002,0.0002597941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008465709,"about_ca_system_score_gemma":0.003872875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559538,"about_ca_topic_score_gemma":0.01495728,"domain_scores_codex":[0.9463338,0.03627066,0.003962669,0.005645556,0.005661721,0.002125596],"domain_scores_gemma":[0.9345493,0.04239367,0.003981417,0.01511417,0.003364371,0.0005969623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002313665,0.0005670209,0.7850381,0.001462625,0.01128901,0.001216339,0.00447579,0.01116684,0.00843338,0.0126887,0.004591321,0.1567571],"study_design_scores_gemma":[0.0006540939,0.004359265,0.8483367,0.0003996433,0.00920974,0.0009000519,0.001144884,0.04802907,0.01772551,0.03448571,0.0345003,0.000255003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5530236,0.005501908,0.4255091,0.002577549,0.001375292,0.002549919,0.003193161,0.0009281884,0.005341223],"genre_scores_gemma":[0.8701085,0.001165213,0.1198347,0.0007098811,0.0002906021,0.00173697,0.001407628,0.0002125938,0.004533816],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0551566,"threshold_uncertainty_score":0.2916995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056925372036664,"score_gpt":0.3313994556255145,"score_spread":0.3008302019051479,"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."}}