{"id":"W4412442771","doi":"10.1016/j.jval.2025.04.1044","title":"HTA33 Streamlined Success or Missed Opportunity: Evaluating the Impact of Simplified Economic Approaches on HTA Recommendations Across CDA-AMC, INESSS and NICE","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Roche (Canada)","funders":"","keywords":"Nice; Risk analysis (engineering); Computer science; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07009056,0.0007537629,0.001676787,0.002223669,0.001309646,0.008486065,0.002771128,0.00517731,0.02039455],"category_scores_gemma":[0.3235944,0.0008286842,0.003113398,0.003593787,0.001731633,0.004720833,0.005143472,0.005876259,0.002637986],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01381765,"about_ca_system_score_gemma":0.0339161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07500351,"about_ca_topic_score_gemma":0.05907809,"domain_scores_codex":[0.9058254,0.0679286,0.004920842,0.003165939,0.01380012,0.004359078],"domain_scores_gemma":[0.6875604,0.2381537,0.02389988,0.009536821,0.02454921,0.01629999],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03265767,0.003218162,0.09281045,0.005471413,0.005254941,0.0002236096,0.002308401,0.103403,0.0006440781,0.04470269,0.2457151,0.4635904],"study_design_scores_gemma":[0.02177876,0.01931548,0.3157309,0.01456023,0.008378494,0.0003525623,0.004739724,0.218192,0.002957781,0.055,0.3379385,0.001055614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4730062,0.01822819,0.0281427,0.2186919,0.003341,0.01068287,0.05658845,0.002406106,0.1889125],"genre_scores_gemma":[0.9225369,0.002183986,0.03729504,0.0228022,0.0008197621,0.003686585,0.006024902,0.0003954097,0.004255241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9861823,"threshold_uncertainty_score":0.3706787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4472813377357159,"score_gpt":0.4502847403448255,"score_spread":0.003003402609109584,"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."}}