{"id":"W2146231646","doi":"10.3386/w15301","title":"Matching on the Estimated Propensity Score","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Banff Centre","funders":"","keywords":"Propensity score matching; Statistics; Matching (statistics); Econometrics; Mathematics; Computer science; Geography","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":[0.0220525,0.0006975284,0.001746288,0.002525775,0.0008476513,0.002308832,0.002182962,0.001825441,0.01613046],"category_scores_gemma":[0.1512365,0.0006551591,0.001074023,0.003716392,0.002607811,0.005209983,0.002775253,0.00369383,0.002857057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154019,"about_ca_system_score_gemma":0.002606864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674415,"about_ca_topic_score_gemma":0.001628293,"domain_scores_codex":[0.9862235,0.009285441,0.0004517704,0.001780668,0.001820772,0.00043786],"domain_scores_gemma":[0.9472529,0.04003324,0.00337698,0.006409023,0.002610825,0.0003170287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006808634,0.00005951965,0.007094197,0.0001648001,0.0001221633,0.0001220132,0.0001927609,0.05316538,0.0005084103,0.8457434,0.007440922,0.0853184],"study_design_scores_gemma":[0.00008167235,0.00007391462,0.0052698,0.0001738345,0.00007395742,0.0001882988,0.0000926087,0.2466088,0.001263398,0.7351077,0.01103048,0.0000355451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009676548,0.0003312104,0.982829,0.001064896,0.00006533248,0.0002007649,0.000364264,0.0001853133,0.005282664],"genre_scores_gemma":[0.5136899,0.002642387,0.4602296,0.001737506,0.0006254222,0.001622642,0.001649838,0.0003609662,0.01744169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0220525,"threshold_uncertainty_score":0.1166262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8414961098396947,"score_gpt":0.6266463557701262,"score_spread":0.2148497540695685,"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."}}