{"id":"W4402413658","doi":"10.51731/cjht.2024.970","title":"Drug Shortages and Patient Harms","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug; Economic shortage; Medicine; Intensive care medicine; Business; Pharmacology; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04562718,0.0005111273,0.002732051,0.007718946,0.001681941,0.006102535,0.001587973,0.005533015,0.007498477],"category_scores_gemma":[0.2390706,0.000784786,0.002898016,0.009141712,0.004824948,0.01208809,0.003700556,0.004486518,0.0006386139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006172244,"about_ca_system_score_gemma":0.01263979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006457849,"about_ca_topic_score_gemma":0.00594423,"domain_scores_codex":[0.943178,0.03061196,0.01394471,0.00132238,0.009850471,0.001092459],"domain_scores_gemma":[0.6615032,0.2556368,0.05639021,0.003862987,0.02001908,0.002587711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007392805,0.000375811,0.06496999,0.2811475,0.003149283,0.001277536,0.008390854,0.0005813098,0.000104735,0.0219585,0.06169239,0.5556128],"study_design_scores_gemma":[0.0003755491,0.0007774084,0.05682361,0.6736215,0.003858051,0.004637741,0.0225437,0.0004197021,0.0004337998,0.0388746,0.197415,0.0002193869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01028811,0.7977298,0.0005894933,0.1788179,0.001648351,0.0002761271,0.0007263615,0.00001566266,0.00990827],"genre_scores_gemma":[0.1596076,0.7703784,0.001917876,0.06208391,0.003973392,0.0005074308,0.0003928165,0.00001783719,0.001120808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9935421,"threshold_uncertainty_score":0.2413025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190415301851258,"score_gpt":0.2854990001977715,"score_spread":0.2335948471792589,"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."}}