{"id":"W2089179132","doi":"10.1016/j.jval.2014.03.1112","title":"Optimal information acquisition policies: Application to hepatitis c screening","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Hepatitis C virus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Hepatitis C; Hepatitis C virus; Demography; Quality-adjusted life year; Markov decision process; Cost effectiveness; Statistics; Immunology; Markov process; Risk analysis (engineering); Mathematics; Virus","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":[0.0219187,0.002381262,0.005102417,0.003041824,0.001461033,0.00576769,0.003039193,0.005271005,0.008144206],"category_scores_gemma":[0.1313116,0.001636044,0.001391714,0.003040953,0.003180675,0.007137894,0.003012852,0.005540246,0.0006893097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005872697,"about_ca_system_score_gemma":0.008561334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009438772,"about_ca_topic_score_gemma":0.005385155,"domain_scores_codex":[0.9900733,0.007048158,0.0003569238,0.0008466336,0.0008173788,0.0008576156],"domain_scores_gemma":[0.76737,0.2164785,0.005802796,0.003648448,0.004223202,0.002477014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002660612,0.001742016,0.005745988,0.0005812711,0.0002674379,0.0004390377,0.0003642367,0.7248501,0.001018851,0.1632079,0.009412871,0.08970957],"study_design_scores_gemma":[0.0005016551,0.0003249891,0.001125892,0.0001071214,0.0001552655,0.0001009117,0.0001797981,0.83341,0.0004502605,0.1622075,0.00136552,0.00007100741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245581,0.006375507,0.6953826,0.01643209,0.0006338534,0.001799198,0.00194505,0.001312989,0.03053774],"genre_scores_gemma":[0.9052731,0.002637109,0.08425932,0.0008292288,0.0004317173,0.0004234935,0.0003662218,0.0001614405,0.005618331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0219187,"threshold_uncertainty_score":0.1159185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451200899937069,"score_gpt":0.3539474941461517,"score_spread":0.319435485146781,"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."}}