{"id":"W2914473118","doi":"10.1093/ageing/afy202.13","title":"105PHYSICIANS’ ATTITUDES TOWARDS DEPRESCRIBING","year":2019,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Problem Solving Skills Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deprescribing; Medicine; Polypharmacy; Family medicine; Nursing; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003421897,0.0001389089,0.0001841789,0.0005974845,0.001164023,0.001223801,0.0002458906,0.0007621138,0.005808554],"category_scores_gemma":[0.01403938,0.0002532911,0.0003045213,0.0005259281,0.0007014066,0.0005992756,0.0007050689,0.0008208898,0.0005455868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139006,"about_ca_system_score_gemma":0.001749829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004539906,"about_ca_topic_score_gemma":0.006531408,"domain_scores_codex":[0.9978822,0.0008097793,0.0002224955,0.0001410994,0.0006760922,0.0002683253],"domain_scores_gemma":[0.9855225,0.005281433,0.00511371,0.0003378214,0.001793408,0.001951186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001886925,0.0007883966,0.9154315,0.0004617202,0.00007808012,0.001018635,0.03779831,0.00008163777,0.003137213,0.0002446592,0.003515377,0.03725571],"study_design_scores_gemma":[0.00004514541,0.0009898209,0.941826,0.0002729321,0.00004231157,0.00132176,0.04063075,0.0002182437,0.0006608533,0.0001300352,0.01382946,0.00003257037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934006,0.0004770524,0.00009924705,0.001621871,0.00004416705,0.00003533272,0.00004363692,0.000005951467,0.004272091],"genre_scores_gemma":[0.9959744,0.0007190555,0.000200931,0.001846361,0.0000580405,0.00002691438,0.00003481505,0.00000224228,0.001137174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005808554,"threshold_uncertainty_score":0.01943159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750932627252854,"score_gpt":0.355579091363292,"score_spread":0.3180697650907635,"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."}}