{"id":"W3035052016","doi":"10.1016/j.ijrobp.2020.02.638","title":"Understanding Propensity Score Analyses","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Propensity score matching; Observational study; Confounding; Medicine; Statistics; Randomized controlled trial; Sample size determination; Internal medicine; Mathematics","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":[0.02179474,0.000827298,0.001152712,0.002313668,0.001025818,0.004751205,0.001908368,0.001993865,0.009400717],"category_scores_gemma":[0.1131973,0.0009194162,0.001538843,0.002145507,0.002919999,0.007612938,0.0042304,0.004550149,0.001120463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287554,"about_ca_system_score_gemma":0.00243286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230908,"about_ca_topic_score_gemma":0.001627397,"domain_scores_codex":[0.9871889,0.009249997,0.0005729449,0.001080726,0.001621782,0.0002856076],"domain_scores_gemma":[0.9151735,0.07409314,0.002595042,0.00512587,0.002479101,0.0005331807],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002090154,0.00003933657,0.002689186,0.00006665022,0.00008398246,0.00006351408,0.0002993817,0.00776418,0.0001348223,0.9448998,0.00340093,0.04053729],"study_design_scores_gemma":[0.000006161685,0.000005227788,0.0002644153,0.000020252,0.00001362538,0.00002472021,0.00003059483,0.0164631,0.00005807828,0.980456,0.002652916,0.00000483722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007515097,0.0009984648,0.9757663,0.009831107,0.0001259003,0.00004187187,0.0002086701,0.0002190762,0.005293497],"genre_scores_gemma":[0.4243617,0.003277525,0.5542169,0.004483042,0.001473293,0.000416258,0.0008670533,0.0003512428,0.01055303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9782053,"threshold_uncertainty_score":0.115263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5087663686543212,"score_gpt":0.4766493267535492,"score_spread":0.03211704190077203,"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."}}