{"id":"W4401220050","doi":"10.51731/cjht.2024.945","title":"Drug Shortages: A Scoring System to Evaluate and Prioritize the Clinical Importance of Drugs in Canada","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":"Medicine; Tolerability; Health care; Economic shortage; Psychological intervention; Population; Risk analysis (engineering); Intensive care medicine; Actuarial science; Business; Adverse effect; Environmental health; Nursing; Pharmacology","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":[0.004838432,0.0006439912,0.0005393187,0.007837676,0.001644464,0.001990083,0.00128878,0.0004328396,0.003738656],"category_scores_gemma":[0.01818698,0.0002478567,0.0008038545,0.006808154,0.0006440268,0.0007472688,0.001572607,0.0005367289,0.0004675671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01991043,"about_ca_system_score_gemma":0.03992997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7838282,"about_ca_topic_score_gemma":0.8675016,"domain_scores_codex":[0.9956215,0.0008008756,0.0006682746,0.0001972109,0.002274279,0.0004377522],"domain_scores_gemma":[0.9856337,0.002467105,0.001602149,0.0001912598,0.009012646,0.001093102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007859484,0.000337623,0.6454332,0.001010632,0.0002439974,0.0003463236,0.001624425,0.005647921,0.001715759,0.002377599,0.03022119,0.3102553],"study_design_scores_gemma":[0.0002622425,0.0007213776,0.8968847,0.0006282248,0.0003343335,0.0004959867,0.004639614,0.05522307,0.004111174,0.002070565,0.03440885,0.0002197347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8502775,0.003118105,0.03829687,0.004589274,0.000235253,0.006880551,0.02580376,0.001311999,0.06948672],"genre_scores_gemma":[0.8762977,0.00124258,0.112299,0.0003106596,0.00003640577,0.0009565934,0.004472611,0.00004681835,0.004337485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2161718,"threshold_uncertainty_score":0.4348897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0839966089288163,"score_gpt":0.3449682227445677,"score_spread":0.2609716138157514,"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."}}