{"id":"W4372185084","doi":"10.1002/pds.5635","title":"A review of the use of propensity score methods with multiple treatment groups in the general internal medicine literature","year":2023,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; North York General Hospital; Sunnybrook Health Science Centre; NOSM University; Health Sciences Centre; University Health Network; Health Sciences North; University of Toronto","funders":"","keywords":"Propensity score matching; Medicine; Confounding; Inverse probability weighting; MEDLINE; Covariate; Pairwise comparison; Weighting; Statistics; 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":[0.02922923,0.001480892,0.005229794,0.03512765,0.0009178122,0.003573353,0.002903203,0.0024665,0.004649987],"category_scores_gemma":[0.0974447,0.001423848,0.006647382,0.03513792,0.001585785,0.003733499,0.002387074,0.00193011,0.0006133123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004887342,"about_ca_system_score_gemma":0.01315406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00664981,"about_ca_topic_score_gemma":0.01536509,"domain_scores_codex":[0.9753466,0.009945967,0.009276162,0.001453621,0.003626183,0.000351419],"domain_scores_gemma":[0.8462391,0.1301768,0.01383334,0.001623982,0.007538692,0.0005881355],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001540359,0.00003510887,0.001382644,0.6371253,0.002855056,0.0002053171,0.0006682763,0.0002537522,0.0001852538,0.001796943,0.007483155,0.3478552],"study_design_scores_gemma":[0.0000814645,0.0001473522,0.005099112,0.8862704,0.01151144,0.0007704828,0.0004083791,0.000144155,0.0001663123,0.001329571,0.094015,0.00005632047],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002227634,0.9984075,0.0002909437,0.0005160157,0.0001375126,0.00005816664,0.00009205122,0.000006311897,0.000268685],"genre_scores_gemma":[0.002216534,0.9958924,0.0009907115,0.0005125568,0.0001293969,0.0001227451,0.00008880943,0.000005102234,0.00004170576],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9707708,"threshold_uncertainty_score":0.1545808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5643266496882013,"score_gpt":0.5568337737406952,"score_spread":0.007492875947506139,"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."}}