{"id":"W7057456595","doi":"","title":"Identification of evidence for key parameters for health economic models used to evaluate the cost-effectiveness of health care technologies","year":2024,"lang":"en","type":"other","venue":"White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Network of Agencies for Health Technology Assessment; University of Aberdeen; Health Technology Assessment international; University of Adelaide; National Institute for Health and Care Research; McMaster University","keywords":"Executable; Baseline (sea); Identification (biology); Health technology; Health care; Economic model; Relevance (law); Key (lock); Health economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2730013,0.006114054,0.01689135,0.02290328,0.0009784889,0.01749679,0.006603596,0.007314953,0.01787589],"category_scores_gemma":[0.7019711,0.003610468,0.04217482,0.01734801,0.001935033,0.01205909,0.005959444,0.006610904,0.001912302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01490496,"about_ca_system_score_gemma":0.01084222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005494942,"about_ca_topic_score_gemma":0.004777965,"domain_scores_codex":[0.612802,0.3115643,0.0426248,0.007097423,0.02419543,0.001716032],"domain_scores_gemma":[0.2365961,0.7209687,0.02306803,0.008418476,0.0102825,0.0006662834],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.01007052,0.0005631779,0.01710474,0.4432172,0.1806945,0.0005468745,0.0009199393,0.08284013,0.0005134855,0.02829502,0.006799344,0.228435],"study_design_scores_gemma":[0.01117995,0.004438699,0.01634689,0.4162823,0.3045769,0.0008661181,0.001310605,0.1121216,0.003139037,0.1002284,0.02884737,0.000662185],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03510522,0.6386692,0.2423097,0.0169681,0.002511373,0.02454628,0.01574562,0.001426786,0.0227178],"genre_scores_gemma":[0.592317,0.1265434,0.2337755,0.005475689,0.0009230751,0.03396769,0.005198524,0.0006411559,0.00115793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7269987,"threshold_uncertainty_score":0.8965189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285781583144079,"score_gpt":0.3468371141605812,"score_spread":0.2182589558461732,"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."}}