{"id":"W2978569536","doi":"10.1002/pds.4890","title":"Estimation of high‐dimensional propensity scores with multiple exposure levels","year":2019,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Covariate; Propensity score matching; Pairwise comparison; Bupropion; Multinomial distribution; Varenicline; Statistics; Confounding; Cohort; Smoking cessation; Internal medicine; Nicotine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.04853549,0.001052479,0.001744308,0.002683922,0.0007907214,0.002152282,0.002145,0.001467665,0.004623442],"category_scores_gemma":[0.1387171,0.0009225608,0.003299078,0.003026659,0.002428824,0.002274412,0.004571731,0.003103178,0.0004083042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223131,"about_ca_system_score_gemma":0.001834978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911778,"about_ca_topic_score_gemma":0.001475178,"domain_scores_codex":[0.9526771,0.03899435,0.001884662,0.003621196,0.002402846,0.0004197443],"domain_scores_gemma":[0.864964,0.1029812,0.01653266,0.01239947,0.002232876,0.0008898143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009776361,0.0004769027,0.3093269,0.00157913,0.00647361,0.0004117397,0.0009708397,0.1866806,0.00148928,0.1128978,0.0031354,0.3755802],"study_design_scores_gemma":[0.0005537802,0.001137584,0.09487803,0.0005417452,0.00103958,0.0007096717,0.0003642788,0.5762753,0.001815035,0.3162315,0.006298251,0.0001552099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05964237,0.000741927,0.9372609,0.0007798463,0.00006109933,0.000316887,0.0003504464,0.0002109965,0.0006354216],"genre_scores_gemma":[0.5910493,0.000550542,0.4058249,0.0003334058,0.0001266475,0.0007476761,0.0007541754,0.00004405855,0.0005693004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04853549,"threshold_uncertainty_score":0.2566833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076302195864092,"score_gpt":0.3888114800433541,"score_spread":0.2811812604569449,"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."}}