{"id":"W1993260957","doi":"10.1037/a0024918","title":"Marginal mean weighting through stratification: A generalized method for evaluating multivalued and multiple treatments with nonexperimental data.","year":2011,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Academy of Education; Spencer Foundation; Social Sciences and Humanities Research Council of Canada; William T. Grant Foundation","keywords":"Causal inference; Covariate; Propensity score matching; Weighting; Average treatment effect; Inverse probability weighting; Statistics; Mathematics; Randomized experiment; Econometrics; Nonparametric statistics; Inference; Binary data; Computer science; Artificial intelligence; Binary number","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1238361,0.002413651,0.00389014,0.007476167,0.001755946,0.00379771,0.003609873,0.002628956,0.01137354],"category_scores_gemma":[0.2568608,0.001568965,0.006019949,0.007390135,0.00573038,0.004686042,0.007082033,0.005841863,0.001494541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003973034,"about_ca_system_score_gemma":0.009438946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315569,"about_ca_topic_score_gemma":0.005233668,"domain_scores_codex":[0.8507547,0.1316899,0.003717097,0.004117748,0.009042163,0.0006783463],"domain_scores_gemma":[0.8372787,0.1302281,0.00826613,0.01609595,0.007001557,0.001129695],"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":[0.0004590833,0.0001912536,0.00535722,0.002555058,0.002995082,0.0002384731,0.00219527,0.02375695,0.001211112,0.3658085,0.01459915,0.5806327],"study_design_scores_gemma":[0.0004096848,0.0005920167,0.004058205,0.001697769,0.001241308,0.00039923,0.0004858179,0.1075888,0.001932845,0.8190166,0.06230559,0.0002720581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008678468,0.000774549,0.9950038,0.0002950692,0.0001664189,0.001258024,0.0002252099,0.0003133252,0.001095764],"genre_scores_gemma":[0.01849264,0.0008521231,0.9743406,0.0003366927,0.00009976841,0.004704953,0.0002901739,0.0001930109,0.0006900327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1238361,"threshold_uncertainty_score":0.6549157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.793516695385926,"score_gpt":0.6567447400249953,"score_spread":0.1367719553609307,"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."}}