{"id":"W3096195021","doi":"10.1177/2054358120968674","title":"Development and Validation of Nine Deprescribing Algorithms for Patients on Hemodialysis to Decrease Polypharmacy","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Health Education and Validation","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Providence Health Care; University of Alberta; University Health Network; Health Sciences Centre; University of British Columbia; Nova Scotia Health Authority; Western University; University of Toronto; Dalhousie University; University of Calgary; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada","keywords":"Polypharmacy; Deprescribing; Medicine; Hemodialysis; Algorithm; Intensive care medicine; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04372744,0.0007084638,0.001013942,0.003911246,0.001259835,0.002012869,0.002100606,0.0008284698,0.0008463096],"category_scores_gemma":[0.1302433,0.0005444916,0.001747735,0.001829173,0.0008623608,0.001531317,0.001695155,0.0009614345,0.0002361367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006363528,"about_ca_system_score_gemma":0.02615979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955057,"about_ca_topic_score_gemma":0.04107725,"domain_scores_codex":[0.9756551,0.008726103,0.007150553,0.001207825,0.006766568,0.0004939691],"domain_scores_gemma":[0.8616102,0.06301714,0.01521221,0.004602904,0.05385484,0.001702724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001125357,0.002021771,0.1978417,0.003712587,0.0003557262,0.0002168782,0.006058339,0.003608662,0.002852506,0.001944867,0.005126579,0.775135],"study_design_scores_gemma":[0.00347669,0.008672524,0.8186548,0.008595659,0.00237373,0.00122881,0.01058078,0.05823301,0.02034902,0.003323415,0.06406863,0.0004429857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8141876,0.00418307,0.08634077,0.003427818,0.0003484067,0.07201332,0.002985267,0.0009730554,0.01554054],"genre_scores_gemma":[0.3363632,0.001701836,0.6426132,0.0005196881,0.00004572965,0.01506143,0.002674825,0.0000424732,0.0009776694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04372744,"threshold_uncertainty_score":0.2312556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09626288541353652,"score_gpt":0.3775168427107053,"score_spread":0.2812539572971688,"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."}}