{"id":"W2949045795","doi":"10.1097/ede.0000000000001015","title":"Causal Mediation Analysis for Standardized Mortality Ratios","year":2019,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Mediation; Estimator; Health care; Causal model; Medicine; Intervention (counseling); Outcome (game theory); Standardized mortality ratio; Econometrics; Psychology; Statistics; Cancer; Internal medicine; Nursing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.06351633,0.001663703,0.002247503,0.003903681,0.0006713629,0.001876027,0.003308106,0.001620797,0.01435519],"category_scores_gemma":[0.2094349,0.0006696134,0.004157083,0.004026548,0.002540613,0.003607109,0.003141393,0.003986573,0.0008448021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528426,"about_ca_system_score_gemma":0.002497765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897489,"about_ca_topic_score_gemma":0.001457323,"domain_scores_codex":[0.9569045,0.03681487,0.0008769353,0.002554702,0.002171266,0.0006776301],"domain_scores_gemma":[0.8264452,0.156991,0.004973433,0.008675417,0.002546714,0.0003683049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002368131,0.0001591161,0.01406007,0.0008296951,0.002541976,0.0006274265,0.0005307482,0.07226361,0.0006844238,0.7933859,0.005460089,0.1092201],"study_design_scores_gemma":[0.0001349853,0.0001558322,0.00388414,0.0001683232,0.0005065712,0.0001751714,0.0001664431,0.2405851,0.0007640281,0.7474343,0.005981079,0.00004395867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00765581,0.0009256704,0.9876446,0.0008929404,0.0001015372,0.0002819199,0.0006144794,0.0002809178,0.001602138],"genre_scores_gemma":[0.5490223,0.002662464,0.4358121,0.0009287759,0.0005573307,0.004190687,0.001692839,0.000325888,0.004807631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06351633,"threshold_uncertainty_score":0.3359105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2800238229706258,"score_gpt":0.5032093866688059,"score_spread":0.2231855636981801,"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."}}