{"id":"W7094263039","doi":"","title":"Les systèmes d’évaluations et procédures de prix et remboursement des médicaments au Royaume-Uni et en France, une comparaison et des évolutions prévisibles","year":2023,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Statutory law; Nice; Investment (military); Product (mathematics); Health technology; Reimbursement; Earnings before interest, taxes, depreciation, and amortization","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":[0.06886849,0.001791769,0.001932933,0.01331113,0.002798052,0.02120722,0.002269313,0.003926164,0.0162938],"category_scores_gemma":[0.08867694,0.001060373,0.002750675,0.01458251,0.006356291,0.007675285,0.002944564,0.004046707,0.004612463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0326278,"about_ca_system_score_gemma":0.03073234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1367807,"about_ca_topic_score_gemma":0.05050601,"domain_scores_codex":[0.9066778,0.05549599,0.007971507,0.006245057,0.02167138,0.001938161],"domain_scores_gemma":[0.9246816,0.04164147,0.007103971,0.006481145,0.01870378,0.001388052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004598462,0.0001671141,0.009713514,0.002191793,0.0002928908,0.0001316699,0.003102577,0.01063051,0.0006108235,0.4771459,0.04771006,0.4478433],"study_design_scores_gemma":[0.0003661629,0.000634747,0.07766069,0.003876604,0.0001916751,0.0006709055,0.002341179,0.01393886,0.002179671,0.1059625,0.791763,0.0004140714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05674102,0.1872527,0.3600129,0.07171219,0.003351375,0.003094685,0.02379349,0.003999519,0.2900421],"genre_scores_gemma":[0.4001601,0.06264725,0.4465625,0.004051568,0.002468037,0.005051483,0.009431824,0.0007885385,0.06883879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1367807,"threshold_uncertainty_score":0.3642157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1741255126558414,"score_gpt":0.4189518997471626,"score_spread":0.2448263870913212,"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."}}