{"id":"W4293785812","doi":"10.1371/journal.pone.0272418","title":"“Kind of blurry”: Deciphering clues to prevent, investigate and manage prescribing cascades","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Trillium Health Centre; Lunenfeld-Tanenbaum Research Institute; Bruyère; University of Ottawa; University of Toronto; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Referral; Polypharmacy; Medicine; Qualitative research; Health care; Family medicine; Nursing; Intensive care medicine","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":[0.02651706,0.001030731,0.0008770433,0.002560211,0.01297208,0.008112917,0.002516004,0.003880226,0.003018199],"category_scores_gemma":[0.07671362,0.000980208,0.0009108441,0.001546157,0.02173562,0.01890307,0.01040785,0.007275568,0.0005450617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009171204,"about_ca_system_score_gemma":0.01938298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526536,"about_ca_topic_score_gemma":0.03008458,"domain_scores_codex":[0.9766243,0.01752844,0.001113049,0.001027841,0.002311519,0.001394795],"domain_scores_gemma":[0.9336746,0.04438429,0.007366214,0.003529728,0.005953332,0.005091801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001318412,0.00005205912,0.01421081,0.001147282,0.00004239835,0.00229209,0.9129382,0.0001436339,0.001553888,0.0119427,0.009430612,0.04611456],"study_design_scores_gemma":[0.00003116175,0.0001520025,0.006978799,0.002655241,0.00009504263,0.002638324,0.8420144,0.0008476764,0.001062409,0.03068168,0.1127243,0.0001189477],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.580651,0.02168133,0.06728032,0.2802696,0.002550317,0.0008097811,0.0002275275,0.0006916089,0.0458386],"genre_scores_gemma":[0.9455405,0.004725027,0.03104125,0.01566691,0.0002912783,0.0001947096,0.00007034155,0.000104646,0.002365259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02651706,"threshold_uncertainty_score":0.1402373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388369800113621,"score_gpt":0.3503808833753572,"score_spread":0.1115439033639951,"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."}}