{"id":"W1956707416","doi":"10.1002/hec.1161","title":"Expected value of information and decision making in HTA","year":2006,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Value of information; Actuarial science; Value (mathematics); Intervention (counseling); Cost–benefit analysis; Optimal decision; Economics; Risk analysis (engineering); Operations management; Computer science; Medicine; Decision tree","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007621359,0.0001527669,0.0008867137,0.000661599,0.0001007405,0.00005644998,0.0001521509,0.0001350601,0.00006916552],"category_scores_gemma":[0.0005891717,0.0002181216,0.00005505942,0.0001673328,0.0000488083,0.0009205577,0.00005462542,0.0001301979,0.0001973476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721045,"about_ca_system_score_gemma":0.0002539932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003989453,"about_ca_topic_score_gemma":0.001326395,"domain_scores_codex":[0.9936391,0.0001002299,0.005538448,0.000312075,0.00003713115,0.0003729975],"domain_scores_gemma":[0.9959287,0.0006733581,0.002932238,0.0003378176,0.00003043448,0.00009744757],"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":[0.00005351919,0.00009153943,0.2640207,0.0007348915,0.00001429075,2.494176e-7,0.002259854,0.0058242,2.989082e-7,0.7110451,0.006189955,0.009765374],"study_design_scores_gemma":[0.002081712,0.0001237298,0.6840735,0.0003135447,0.000002081694,0.00001032529,0.001031244,0.07792734,0.000003073726,0.2001991,0.03379261,0.0004417001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784144,0.002440858,0.008563487,0.006482837,0.0004130378,0.0006855445,0.0001874492,0.00003181593,0.002780562],"genre_scores_gemma":[0.9690598,0.0006586131,0.0238073,0.006200775,0.0001328456,0.00004615366,0.00005390212,0.00002229139,0.00001835767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510846,"threshold_uncertainty_score":0.8894742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1834432975456794,"score_gpt":0.414317826975785,"score_spread":0.2308745294301056,"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."}}