{"id":"W3210831246","doi":"10.1136/dtb.2021.000029","title":"‘Drugs to avoid’: can we improve prescribing appropriateness?","year":2021,"lang":"en","type":"editorial","venue":"Drug and Therapeutics Bulletin","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Intensive care medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01062141,0.002101811,0.00245785,0.002353313,0.001954862,0.007036296,0.002520475,0.01510507,0.01003488],"category_scores_gemma":[0.04086661,0.0008201751,0.00164508,0.001058485,0.003370482,0.007140886,0.001225566,0.02121485,0.009814519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003481396,"about_ca_system_score_gemma":0.00399585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023247,"about_ca_topic_score_gemma":0.005802634,"domain_scores_codex":[0.9941337,0.001640459,0.0007807207,0.0005142531,0.00263177,0.0002991052],"domain_scores_gemma":[0.9620364,0.0214834,0.001527341,0.0007545944,0.01132906,0.00286922],"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":[0.00001996088,0.000009525475,0.00002640773,0.0002736194,0.000009193888,0.0000521508,0.00003016352,0.0000144847,0.00002363142,0.0005544496,0.9866611,0.01232524],"study_design_scores_gemma":[0.00004324544,0.00003067388,0.0002877378,0.0009452453,0.00003241755,0.0002422925,0.00009062916,0.00009222315,0.00005684825,0.001900415,0.9962586,0.00001965779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007351267,0.02898499,0.0001608819,0.1879421,0.7795188,0.0000239026,0.00004766601,0.00008158712,0.0031666],"genre_scores_gemma":[0.0006353005,0.02069651,0.0002501507,0.07311095,0.8985106,0.00002381192,0.00003395254,0.00005169,0.006687161],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01510507,"threshold_uncertainty_score":0.05617207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1692643205405258,"score_gpt":0.4618932033914181,"score_spread":0.2926288828508923,"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."}}