{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004875284,0.000199048,0.0005220277,0.0001129203,0.00007697081,0.00004114937,0.0005793523,0.000191373,0.00008539634],"category_scores_gemma":[0.001666295,0.0001705376,0.0002088642,0.0002164784,0.0001838699,0.0004997434,0.0001157527,0.0005353749,0.00001792862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008642797,"about_ca_system_score_gemma":0.000324358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004123701,"about_ca_topic_score_gemma":0.000002773008,"domain_scores_codex":[0.998265,0.0002351999,0.000776776,0.0002133715,0.0003060342,0.0002035703],"domain_scores_gemma":[0.9969345,0.0007379309,0.001378844,0.0001296355,0.0006736984,0.0001453392],"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":[0.0004233849,0.0003919328,0.122849,0.00002881289,0.00101632,0.000116284,0.001438341,0.000858357,0.03136927,0.799995,0.009392599,0.03212072],"study_design_scores_gemma":[0.001631682,0.0009749092,0.001176509,0.00006530025,0.0001409841,0.0000850611,0.0001884009,0.00221448,0.02032825,0.9676123,0.005295263,0.0002868875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192923,0.00009253168,0.8729871,0.004863222,0.0007505498,0.0002098513,0.00002922841,0.0001574238,0.001617863],"genre_scores_gemma":[0.9691018,0.0001781086,0.02781529,0.001339221,0.001500044,0.000004887776,0.0000185756,0.00002919063,0.00001284033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8498096,"threshold_uncertainty_score":0.6954322,"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."}}