{"id":"W2733167474","doi":"10.1093/geroni/igx004.3792","title":"A TRANSLATIONAL MODEL TO UNDERSTAND THE IMPACT OF POLYPHARMACY ON ADVERSE GERIATRIC OUTCOMES","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Polypharmacy; Deprescribing; Medicine; Adverse effect; Regimen; Pharmacology; Internal medicine","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":[0.000276364,0.00008904422,0.0001430967,0.000372858,0.00009515204,0.0000170302,0.0001245837,0.00002688455,0.00004367768],"category_scores_gemma":[0.0002519003,0.00006097967,0.00005049633,0.0003914835,0.00003884612,0.0001377775,0.00001791003,0.0001375033,0.000006821696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132379,"about_ca_system_score_gemma":0.0001341741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002687117,"about_ca_topic_score_gemma":0.00001069624,"domain_scores_codex":[0.9991806,0.00001165321,0.0003238281,0.0001213653,0.0002366526,0.0001259415],"domain_scores_gemma":[0.9993129,0.00006980855,0.0001585636,0.0003103781,0.0001244033,0.00002397488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004617898,0.0002227596,0.8680096,0.00006405839,0.0001378589,0.00001198233,0.009538831,0.07945879,0.01292419,0.01151387,0.00207654,0.01557974],"study_design_scores_gemma":[0.002201471,0.0000421038,0.9671931,0.00009058943,0.00001108981,0.000003430748,0.0001682093,0.02792301,0.0006292757,0.00165321,0.00001259946,0.0000719074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766871,0.000005797534,0.004926994,0.01436148,0.00008320165,0.0003405388,0.00001414612,0.00001537506,0.003565356],"genre_scores_gemma":[0.9983439,0.000001553323,0.0006796558,0.0005820398,0.00004289961,0.000006326223,0.000008367952,0.00001069278,0.000324541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09918351,"threshold_uncertainty_score":0.2486679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08562774108963694,"score_gpt":0.4047014205477491,"score_spread":0.3190736794581122,"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."}}