{"id":"W3092486526","doi":"10.1093/eurpub/ckaa165.1054","title":"Measures to manage, reduce and prevent medicines shortages in European countries in 2020","year":2020,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Business; Reimbursement; Public health; Quarter (Canadian coin); Sanctions; Medicine; Environmental health; Economic growth; Health care; Political science; Government (linguistics); Economics; Geography; Nursing","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":[0.00516393,0.0003825318,0.0002003534,0.0009465304,0.0004127717,0.0009120795,0.0005544096,0.000786632,0.003188948],"category_scores_gemma":[0.003993315,0.0001268125,0.0003083069,0.000790088,0.0003652495,0.001022065,0.001970306,0.0004428645,0.0003989774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736847,"about_ca_system_score_gemma":0.004189413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278278,"about_ca_topic_score_gemma":0.001863558,"domain_scores_codex":[0.9981029,0.0009505583,0.0002681469,0.00009526125,0.0002344212,0.0003486888],"domain_scores_gemma":[0.9974056,0.0003726372,0.001061381,0.0001085103,0.0005619222,0.000489863],"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":[0.0005557793,0.00128662,0.3197804,0.008391406,0.0002940688,0.001613377,0.005627653,0.004334881,0.006891558,0.01681009,0.06021731,0.5741969],"study_design_scores_gemma":[0.0001430984,0.001187165,0.6601869,0.005131079,0.00012092,0.001111891,0.013099,0.001444286,0.003589916,0.00272873,0.3111978,0.0000591901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988721,0.04617454,0.008219725,0.05476828,0.000892315,0.0007846283,0.002636645,0.0004605883,0.08719119],"genre_scores_gemma":[0.9593747,0.008878257,0.01399212,0.009814364,0.000156624,0.0003484722,0.001924441,0.00002294045,0.005488139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00516393,"threshold_uncertainty_score":0.02730978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682404659844854,"score_gpt":0.3316727112019646,"score_spread":0.1634322452174792,"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."}}