{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002132294,0.00008123405,0.0002225642,0.00006443849,0.00008575425,0.00001007955,0.00006775154,0.00001733475,0.0002180824],"category_scores_gemma":[0.0002284724,0.0000776033,0.00002799138,0.0001420764,0.0000340431,0.00009250973,0.0002621293,0.0002058053,0.000004702103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002790069,"about_ca_system_score_gemma":0.0000147083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004522476,"about_ca_topic_score_gemma":0.000004308674,"domain_scores_codex":[0.999087,0.00006536755,0.0001930399,0.0001686553,0.0003284323,0.0001575169],"domain_scores_gemma":[0.9994519,0.0001346441,0.00007037348,0.0001463635,0.000021682,0.0001750583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001319536,0.005819945,0.530004,0.003557437,0.001744312,0.0001747837,0.009748778,0.0002122906,0.4385373,0.0009644938,0.0007558976,0.007161249],"study_design_scores_gemma":[0.00736432,0.005321892,0.1355206,0.002793967,0.004980003,0.0001104788,0.003277242,0.02176969,0.7580206,0.002274801,0.05726983,0.001296605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945492,0.0005983273,0.00001175041,0.001723969,0.00002969956,0.0004930896,0.00001159743,0.00002801155,0.002554405],"genre_scores_gemma":[0.9949697,0.00008151513,0.002629498,0.001174639,0.00003719988,0.00003608248,0.000004596125,0.00001552718,0.001051233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944834,"threshold_uncertainty_score":0.3164571,"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."}}