{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00343132,0.0001445491,0.000862625,0.0001307589,0.00004167058,0.000003808421,0.0001361794,0.0001869367,0.0003848352],"category_scores_gemma":[0.01726797,0.0001226115,0.0002229714,0.0002322245,0.00005797338,0.000110275,0.00003557893,0.0001261927,0.00002268988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009668799,"about_ca_system_score_gemma":0.00004377548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000242651,"about_ca_topic_score_gemma":0.0001260843,"domain_scores_codex":[0.9981905,0.0004346272,0.000644593,0.0003268645,0.00009695503,0.0003064717],"domain_scores_gemma":[0.9906703,0.008190101,0.0003851894,0.0004871667,0.0002067847,0.00006047232],"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":[0.00006761851,0.00003926317,0.3342063,0.00006459427,0.0007553243,6.569373e-7,0.0001491731,0.0004238555,0.001252619,0.6546005,0.007817975,0.0006221432],"study_design_scores_gemma":[0.0003454149,0.0001246391,0.01820104,0.000004074439,0.0002506298,5.375157e-7,0.00003249769,0.004951396,0.001211479,0.9729888,0.001720674,0.0001688275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.198406,0.00002911015,0.7994909,0.0004543466,0.0001644999,0.0006072103,0.00006139308,0.0002220404,0.0005645443],"genre_scores_gemma":[0.7871942,0.00002099441,0.211489,0.0005224542,0.0001514496,0.0001391371,0.0001446624,0.00001977018,0.0003183462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5887882,"threshold_uncertainty_score":0.99101,"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."}}