{"id":"W2896059601","doi":"10.1016/j.jtcvs.2018.05.062","title":"Challenges to make cost-effectiveness studies usable by decision makers","year":2018,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"","keywords":"Generalizability theory; Scopus; Context (archaeology); Nothing; Value (mathematics); Health care; Medicine; Cost effectiveness; Enthusiasm; MEDLINE; Psychology; Law; Philosophy; Political science; Social psychology; Epistemology; Statistics; History; Mathematics","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":[0.4515134,0.002050473,0.006208587,0.005280432,0.002784101,0.01969157,0.00934782,0.02686357,0.01453138],"category_scores_gemma":[0.8178754,0.002424526,0.004810912,0.005315568,0.01180278,0.0304259,0.01008981,0.05316535,0.007281294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009699705,"about_ca_system_score_gemma":0.02109426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005955838,"about_ca_topic_score_gemma":0.005913555,"domain_scores_codex":[0.6371464,0.2881304,0.03328673,0.006009841,0.03268586,0.002740773],"domain_scores_gemma":[0.06841707,0.8749097,0.009813963,0.0115214,0.03150088,0.003836959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007593891,0.0004148738,0.00245727,0.003861251,0.001374304,0.0003969003,0.001435307,0.002752349,0.0001899585,0.08972622,0.693264,0.2033682],"study_design_scores_gemma":[0.00144594,0.0002935978,0.001952844,0.0140853,0.000708595,0.0004705078,0.002592606,0.005765831,0.0004365232,0.5658701,0.4060425,0.0003356999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003700009,0.00742549,0.003777526,0.9791754,0.006921948,0.00004965338,0.0002842225,0.00004713644,0.001948525],"genre_scores_gemma":[0.03565376,0.01588961,0.04836898,0.8338823,0.06277879,0.001150137,0.0005664172,0.0002892549,0.001420643],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4515134,"threshold_uncertainty_score":0.6763816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.446441568324353,"score_gpt":0.4613579282668147,"score_spread":0.01491635994246171,"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."}}