{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008853749,0.0002648828,0.0005754632,0.000500298,0.0002073482,0.00007627394,0.0008007208,0.0003732893,0.0004265999],"category_scores_gemma":[0.005738972,0.0001892697,0.0001458547,0.0001705793,0.0002874311,0.000134836,0.0002160377,0.001541017,0.0001293755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145514,"about_ca_system_score_gemma":0.00276869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004215945,"about_ca_topic_score_gemma":0.0001069046,"domain_scores_codex":[0.9961693,0.0002587039,0.0007318978,0.0004619239,0.001986675,0.0003915403],"domain_scores_gemma":[0.9923411,0.004159419,0.000503996,0.0006168052,0.002310344,0.00006831202],"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":[0.00003193634,0.00007919624,0.00004552198,0.0001155128,0.00006114713,0.000005251036,0.00003506206,0.00008298255,0.0001431264,0.9142842,0.08365489,0.001461176],"study_design_scores_gemma":[0.00007548324,0.000123998,0.0002046214,0.0005917773,0.000008993054,0.00001911583,0.00001386278,0.00008529678,0.002020418,0.9953512,0.001336605,0.0001686169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02215804,0.00009607175,0.0001768602,0.001552925,0.0001544323,0.00184307,0.00007995999,0.0001625679,0.9737761],"genre_scores_gemma":[0.9780993,0.0006155343,0.007365118,0.00009265803,0.0007143677,0.0002676702,0.0002466742,0.0001195209,0.01247912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.961297,"threshold_uncertainty_score":0.7718196,"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."}}