{"id":"W3169534237","doi":"10.1016/j.sapharm.2021.05.018","title":"Leveraging implementation science to increase the translation of deprescribing evidence into practice","year":2021,"lang":"en","type":"letter","venue":"Research in Social and Administrative Pharmacy","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Deprescribing; Knowledge translation; Quality (philosophy); Medicine; Computer science; Polypharmacy; Knowledge management; Pharmacology; Epistemology","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":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02050834,0.000183772,0.0003086796,0.0004005326,0.003250164,0.0001209862,0.0006020318,0.0001106908,0.0002211097],"category_scores_gemma":[0.007148583,0.0001557947,0.00003957525,0.003220139,0.0009454894,0.001048051,0.0003872179,0.002785727,0.0000163301],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096687,"about_ca_system_score_gemma":0.01465109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478438,"about_ca_topic_score_gemma":0.001252307,"domain_scores_codex":[0.9862974,0.008548702,0.001037523,0.0006581285,0.002218066,0.001240178],"domain_scores_gemma":[0.9825871,0.01479275,0.0004347663,0.0002199593,0.001710907,0.0002545069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003819286,0.00006779612,0.01573757,0.002522058,0.0000540949,0.0001984177,0.4221872,0.000001615847,0.01093865,0.001210411,0.4475063,0.09919393],"study_design_scores_gemma":[0.00126981,0.0001454457,0.006211562,0.0009385163,0.00003280414,0.000006956342,0.1221027,0.00007326136,0.001410494,0.001355659,0.8661475,0.0003052346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06078851,0.000195904,0.0001460189,0.9343169,0.0001640896,0.002343245,0.00008588835,0.00001214763,0.001947264],"genre_scores_gemma":[0.6677374,0.0002809073,0.001015138,0.3285436,0.001597685,0.000701643,0.00002340318,0.00001640625,0.00008385718],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6069489,"threshold_uncertainty_score":0.9995149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9338156715469808,"score_gpt":0.7978312648585223,"score_spread":0.1359844066884585,"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."}}