{"id":"W3052338136","doi":"10.1097/bsd.0000000000001055","title":"Propensity Score Matching","year":2020,"lang":"en","type":"article","venue":"Clinical Spine Surgery A Spine Publication","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Propensity score matching; Observational study; Outcome (game theory); Matching (statistics); Confounding; Medicine; Computer science; Econometrics; Internal medicine; Mathematics; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02787785,0.001085885,0.002417353,0.00526214,0.00101626,0.002878596,0.002147302,0.001898136,0.02706988],"category_scores_gemma":[0.0975768,0.0006039042,0.002342485,0.008460802,0.001453507,0.002888838,0.003654012,0.002306296,0.006533147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231977,"about_ca_system_score_gemma":0.004576789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588846,"about_ca_topic_score_gemma":0.001221483,"domain_scores_codex":[0.9767239,0.01533761,0.002106033,0.002300446,0.003061106,0.0004708814],"domain_scores_gemma":[0.9753162,0.01344281,0.003046259,0.00627865,0.001610691,0.0003054003],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004311424,0.000245812,0.01392733,0.001101185,0.001257987,0.0001967651,0.000381186,0.01544532,0.0005603003,0.3728997,0.05042549,0.5431278],"study_design_scores_gemma":[0.0007739574,0.0005323874,0.008768197,0.0008933889,0.0008905903,0.001490794,0.0002417992,0.07320712,0.001599006,0.7108628,0.2005798,0.0001602955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00392435,0.0009968149,0.9796277,0.001072348,0.0003498742,0.00270025,0.00213018,0.0006795136,0.008518988],"genre_scores_gemma":[0.1468233,0.004302116,0.8182541,0.001483667,0.0009176621,0.009208961,0.006308422,0.0005196966,0.01218196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9721221,"threshold_uncertainty_score":0.1474339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.503363480811191,"score_gpt":0.4645952154944371,"score_spread":0.03876826531675387,"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."}}