{"id":"W4406147092","doi":"10.1017/s0266462324001399","title":"OD01 Delays In Funded Access To Medicines: A Global Perspective","year":2024,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Access to medicines; Medicine; Family medicine; Business; Political science; Computer science; Nursing; Public health","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":[0.02056675,0.0003950719,0.0007487215,0.003533399,0.001007588,0.006319971,0.00151659,0.003001455,0.01808545],"category_scores_gemma":[0.07760002,0.0004577466,0.001300225,0.007509486,0.002208945,0.008940489,0.005492472,0.004337906,0.001190748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008736126,"about_ca_system_score_gemma":0.01685384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366335,"about_ca_topic_score_gemma":0.01492568,"domain_scores_codex":[0.9846951,0.006603273,0.002407554,0.001119285,0.002982958,0.002191764],"domain_scores_gemma":[0.8844338,0.07451664,0.0216974,0.001779134,0.0124592,0.005113776],"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":[0.001092301,0.0002248024,0.07836707,0.06543891,0.0009124712,0.002503564,0.01689329,0.003686601,0.0006836088,0.1028798,0.2318698,0.4954477],"study_design_scores_gemma":[0.0001284763,0.0004567683,0.06830232,0.05069855,0.0005425718,0.002323327,0.01951447,0.0005218404,0.0007600365,0.01635683,0.8402607,0.0001340169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07042668,0.3804732,0.002393146,0.4528203,0.004325104,0.0001885761,0.01258823,0.000143976,0.07664081],"genre_scores_gemma":[0.5897202,0.3253292,0.003885431,0.06553087,0.003384373,0.0003423318,0.0049946,0.0001848327,0.006628094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02366335,"threshold_uncertainty_score":0.1087686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06452434491338832,"score_gpt":0.4701386555138322,"score_spread":0.4056143106004438,"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."}}