{"id":"W4372329041","doi":"10.1007/s40266-023-01028-2","title":"Classifying Polypharmacy According to Pharmacotherapeutic and Clinical Risks in Older Adults: A Latent Class Analysis in Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Drugs & Aging","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quebec Network for Research on Aging; Institut National de Santé Publique du Québec; Université Laval; Centre hospitalier de l'Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Polypharmacy; Medicine; Drug class; Hazard ratio; Institutionalisation; Population; Latent class model; Confidence interval; Intensive care medicine; Psychiatry; Drug; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008345788,0.0002095093,0.0005632432,0.0006990882,0.00006481118,0.0000501809,0.0001154868,0.00005889587,0.00007828895],"category_scores_gemma":[0.0001259884,0.0001923734,0.0001266188,0.002189693,0.0000289377,0.0002072588,0.0001231559,0.0006761993,0.00001713772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330966,"about_ca_system_score_gemma":0.0002267545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7069482,"about_ca_topic_score_gemma":0.6311777,"domain_scores_codex":[0.9976581,0.0002133007,0.0006895228,0.0004941314,0.0003723656,0.0005725959],"domain_scores_gemma":[0.9984411,0.000850764,0.0001215133,0.0001827021,0.00003441685,0.0003694909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000284688,0.00008689456,0.9419745,0.00009344448,0.0002834072,0.000221342,0.00183947,0.0002246065,0.0001222363,0.000003665564,0.0001709537,0.05469483],"study_design_scores_gemma":[0.00449711,0.00001600165,0.8784106,0.0002885388,0.0005809437,0.000002487431,0.002417032,0.109156,0.00009686334,0.000002909504,0.004294908,0.0002364877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871069,0.0004402762,0.00002120644,0.01120824,0.0003181022,0.0005365851,0.000006057876,0.0000636257,0.0002990578],"genre_scores_gemma":[0.9899496,0.0004965626,0.0000463362,0.009096446,0.0001020142,0.00002703518,0.00001908419,0.00002789646,0.0002350172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1089314,"threshold_uncertainty_score":0.784476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222630446107396,"score_gpt":0.4565791432691289,"score_spread":0.3343160986583892,"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."}}