{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526819,0.0002952373,0.0004852529,0.001262088,0.0004464951,0.001063879,0.0005840017,0.002024456,0.004853906],"category_scores_gemma":[0.01696306,0.0001987356,0.0004979175,0.001419578,0.0007522029,0.002550211,0.0008345442,0.002553761,0.001145258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765214,"about_ca_system_score_gemma":0.003021514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00825868,"about_ca_topic_score_gemma":0.01214353,"domain_scores_codex":[0.9992419,0.0002830112,0.00011893,0.00005090658,0.000259239,0.00004612494],"domain_scores_gemma":[0.9944271,0.002079137,0.001206148,0.0002067062,0.001260008,0.0008209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001390156,0.00009205175,0.02019732,0.001742721,0.0001012591,0.0002245975,0.0005159901,0.0000644112,0.00009710398,0.002078758,0.5533616,0.4213851],"study_design_scores_gemma":[0.0008452604,0.0005563741,0.2591093,0.02348783,0.0004929195,0.003606339,0.001199439,0.0007292099,0.0003460848,0.0167999,0.6926659,0.0001613311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01104476,0.2447616,0.001107745,0.6865814,0.02919805,0.0002364063,0.002157898,0.0002281876,0.02468404],"genre_scores_gemma":[0.1151893,0.43977,0.01063285,0.336934,0.07065875,0.0009090601,0.003635247,0.0001698612,0.0221009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00825868,"threshold_uncertainty_score":0.0164212,"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."}}