{"id":"W3196761963","doi":"10.1212/wnl.0000000000012777","title":"Applying Propensity Score Methods in Clinical Research in Neurology","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Propensity score matching; Observational study; Covariate; Matching (statistics); Medicine; Weighting; Statistics; Internal medicine; Mathematics; Pathology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1419386,0.001417129,0.002068515,0.00667198,0.001684919,0.005488988,0.002728209,0.003705255,0.007739828],"category_scores_gemma":[0.3239541,0.001304829,0.003221769,0.01006868,0.005928059,0.00561545,0.006552884,0.006967299,0.001786348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855817,"about_ca_system_score_gemma":0.009766185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004431173,"about_ca_topic_score_gemma":0.003599681,"domain_scores_codex":[0.8443835,0.1387029,0.006026858,0.003440364,0.00690007,0.0005463933],"domain_scores_gemma":[0.7051973,0.2553442,0.01284896,0.01618931,0.009153006,0.001267135],"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":[0.0001056063,0.00009585322,0.006734781,0.001725209,0.0009525192,0.0002200455,0.0008123386,0.02224968,0.0002765397,0.713097,0.01305904,0.2406714],"study_design_scores_gemma":[0.0001184567,0.00009223285,0.00176431,0.0008795316,0.0001126933,0.0001406405,0.000105653,0.02293989,0.0002771165,0.9547117,0.01879166,0.00006613264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001126499,0.006002193,0.9846879,0.004989921,0.000433016,0.0003947153,0.000210314,0.0001710347,0.001984373],"genre_scores_gemma":[0.05164385,0.01605143,0.9237757,0.002271277,0.001781236,0.002642162,0.000337014,0.0001683246,0.001329032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8580614,"threshold_uncertainty_score":0.750652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7483324935008868,"score_gpt":0.6275504623094126,"score_spread":0.1207820311914742,"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."}}