{"id":"W2897929033","doi":"10.1177/2042098618804490","title":"Deprescribing conversations: a closer look at prescriber–patient communication","year":2018,"lang":"en","type":"article","venue":"Therapeutic Advances in Drug Safety","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa; University of Waterloo; Centre Integre de Sante et de Services Sociaux de Laval; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Deprescribing; Medicine; Conversation; Thematic analysis; Health care; Action (physics); Family medicine; Nursing; Qualitative research; Psychology; Polypharmacy; Internal medicine; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005881406,0.0002815999,0.0004708055,0.002355039,0.002480265,0.003766843,0.0006610063,0.001417037,0.002628269],"category_scores_gemma":[0.01495063,0.0003308588,0.0003825157,0.001561434,0.002354831,0.005323707,0.002945365,0.001742946,0.0002409999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141716,"about_ca_system_score_gemma":0.001696753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643573,"about_ca_topic_score_gemma":0.005414388,"domain_scores_codex":[0.9940838,0.004226489,0.0003043785,0.0002810036,0.0005869906,0.0005172771],"domain_scores_gemma":[0.9738609,0.02220078,0.001924547,0.0003191626,0.001119243,0.0005752849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001618428,0.00005661064,0.03580138,0.0006916177,0.00002754098,0.001204957,0.9310973,0.00005618617,0.002848863,0.000808485,0.0007393264,0.02650584],"study_design_scores_gemma":[0.000016078,0.0002270436,0.154649,0.001022631,0.00004972985,0.003430197,0.8165452,0.0004005618,0.001847982,0.001284538,0.02047711,0.00004995611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814032,0.003597816,0.002257564,0.004254905,0.0001038704,0.00008191379,0.0001941002,0.00003018226,0.008076309],"genre_scores_gemma":[0.9948916,0.001881874,0.001520831,0.0007891979,0.00007792826,0.00006201528,0.00008887854,0.00002423923,0.0006632945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005881406,"threshold_uncertainty_score":0.03110421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0979747242222918,"score_gpt":0.3990011828173144,"score_spread":0.3010264585950226,"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."}}