{"id":"W4226246066","doi":"10.48350/167216","title":"[Polypharmacy and inappropriate medications in multimorbid elderly patients - What OPERAM taught us and will teach us].","year":2022,"lang":"en","type":"article","venue":"Bern Open Repository and Information System (University of Bern)","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Polypharmacy; Medical prescription; Life expectancy; Multicenter study; Population; Gynecology; Randomized controlled trial; Internal medicine; Pharmacology","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":[0.0003721422,0.00009929229,0.0002487355,0.0001436011,0.0004586587,0.0001098331,0.0001426441,0.00004652981,0.00004906287],"category_scores_gemma":[0.00001141203,0.0001032792,0.00002538731,0.0001384049,0.00008114536,0.005629504,0.0004189895,0.0002103291,0.000003280426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008294829,"about_ca_system_score_gemma":0.00005315945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322881,"about_ca_topic_score_gemma":0.00001053916,"domain_scores_codex":[0.9990149,0.0001502364,0.0002915681,0.0001489785,0.0002800394,0.0001142725],"domain_scores_gemma":[0.9992712,0.00005996883,0.0002968578,0.0001399675,0.00008223984,0.000149823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001158516,0.0002350964,0.9532344,0.000830197,0.0001582717,0.00002684733,0.01548724,0.00002511759,0.0001283144,0.0005389067,0.0002638721,0.02791318],"study_design_scores_gemma":[0.01247915,0.0006295381,0.8208117,0.0003904415,0.0003023941,0.0002543806,0.04461132,0.01488658,0.00007801106,0.000004278206,0.1052404,0.0003117869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918709,0.0002058012,0.00003203138,0.0005533086,0.0001794889,0.0009212159,0.00002856943,0.00001597901,0.006192649],"genre_scores_gemma":[0.9986556,0.0002219288,0.0002007562,0.0002565988,0.000009378014,0.000004908467,0.00007631709,0.000004349261,0.0005701399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1324227,"threshold_uncertainty_score":0.4211606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512996125364508,"score_gpt":0.2794752255584392,"score_spread":0.2543452643047941,"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."}}