{"id":"W7101384563","doi":"10.1093/eurpub/ckaf161.820","title":"HTA System in Switzerland: Current State, Gaps, and Prospects for Improvement","year":2025,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Health technology; Reimbursement; Agency (philosophy); Government (linguistics); Health care; Healthcare system; Resource (disambiguation); Competition (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005834244,0.0005042982,0.000383302,0.002344101,0.001706766,0.004665687,0.00116446,0.00140441,0.01362609],"category_scores_gemma":[0.007694981,0.0001732287,0.0005575598,0.002559919,0.002111143,0.002790109,0.002759919,0.001117482,0.001224462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006568732,"about_ca_system_score_gemma":0.02138869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0518388,"about_ca_topic_score_gemma":0.03180998,"domain_scores_codex":[0.9952137,0.001927792,0.0003138073,0.0003600743,0.0007136547,0.001470908],"domain_scores_gemma":[0.9891248,0.00327268,0.001663786,0.0004410645,0.002430755,0.00306692],"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":[0.0004159274,0.000424385,0.3020746,0.008651965,0.0002233006,0.002282848,0.01165875,0.007452594,0.003654539,0.06817786,0.04894848,0.5460347],"study_design_scores_gemma":[0.00005605139,0.0007016421,0.8027255,0.006526942,0.000122851,0.001374773,0.0319935,0.006387909,0.001263235,0.01000377,0.1386473,0.0001965589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5638721,0.1302171,0.009127773,0.2208763,0.002290278,0.0003287695,0.005004866,0.001102754,0.06718013],"genre_scores_gemma":[0.9790137,0.01291926,0.002514643,0.001679046,0.0003280885,0.0001132349,0.001081651,0.00003296084,0.002317403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0518388,"threshold_uncertainty_score":0.1030741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038008554594162,"score_gpt":0.3219711106484152,"score_spread":0.2839625560542531,"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."}}