{"id":"W4321486913","doi":"10.1093/aje/kwad041","title":"How Choice of Effect Measure Influences Minimally Sufficient Adjustment Sets for External Validity","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University; University of North Carolina at Chapel Hill; McGill University","keywords":"Measure (data warehouse); Class (philosophy); Outcome (game theory); Scale (ratio); Population; Variable (mathematics); Statistics; Mathematics; Econometrics; Conditional probability; Medicine; Computer science; Mathematical economics; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3355383,0.001736501,0.004406878,0.004321899,0.002607331,0.006840213,0.005154852,0.00335554,0.004655689],"category_scores_gemma":[0.7358096,0.001744814,0.006192544,0.003349701,0.007802027,0.01221599,0.008350181,0.009585085,0.0005717806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472237,"about_ca_system_score_gemma":0.004774523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00189057,"about_ca_topic_score_gemma":0.001656396,"domain_scores_codex":[0.6712579,0.2752097,0.02373363,0.01531049,0.01255238,0.001935904],"domain_scores_gemma":[0.1544316,0.7886992,0.01273804,0.03373852,0.009244454,0.001148206],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003098001,0.0005538721,0.07090785,0.005935806,0.008580049,0.0005559458,0.004725181,0.02433376,0.004259963,0.572524,0.009662719,0.2948628],"study_design_scores_gemma":[0.0008957487,0.001321986,0.02341033,0.00213862,0.00211994,0.0006692932,0.0008591241,0.03889487,0.003982366,0.9130414,0.01238978,0.0002766029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04298408,0.002927294,0.9319322,0.01293806,0.0006911329,0.001143501,0.0009005437,0.0005209557,0.005962247],"genre_scores_gemma":[0.3522437,0.000682678,0.6393428,0.002210878,0.0004383577,0.003636726,0.0005762491,0.000315885,0.000552792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6644617,"threshold_uncertainty_score":0.8193996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2728450491069436,"score_gpt":0.4778967647614582,"score_spread":0.2050517156545146,"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."}}