{"id":"W2120517142","doi":"10.1177/0272989x15594369","title":"A Practical Application of Value of Information and Prospective Payback of Research to Prioritize Evaluative Research","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Prioritization; Value of information; Computer science; Management science; Value (mathematics); Risk analysis (engineering); Decision aids; Operations research; Data science; Actuarial science; Medicine; Artificial intelligence; Business; Economics; Machine learning; Alternative 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1284137,0.00009205573,0.0007259487,0.0009830865,0.00009020887,0.00002914834,0.0002990713,0.0002070528,0.0001008189],"category_scores_gemma":[0.1933017,0.000097675,0.00004630612,0.001032169,0.0003884428,0.0005040547,0.0003078181,0.0004273108,0.0002606609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506293,"about_ca_system_score_gemma":0.0007932016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004082113,"about_ca_topic_score_gemma":0.00003550775,"domain_scores_codex":[0.992567,0.00122181,0.00390223,0.0003697347,0.001603798,0.0003354087],"domain_scores_gemma":[0.9854315,0.01048588,0.001285508,0.0004741139,0.001982927,0.0003400709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006042193,0.0003194456,0.06443278,0.0008126282,0.0000508458,0.00000111136,0.01748914,0.0001689228,0.00002061359,0.8648694,0.014909,0.0363219],"study_design_scores_gemma":[0.003182178,0.001765103,0.1520035,0.001809124,0.00001068542,0.00001658712,0.01559234,0.1250385,0.0002303845,0.6865722,0.01346194,0.0003174286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5585464,0.0005490276,0.4145874,0.01724549,0.0002252824,0.002789251,0.00009334499,0.00001650291,0.005947282],"genre_scores_gemma":[0.9492313,0.00003559212,0.05017059,0.0003210907,0.00009072245,0.0001211384,0.000004644911,0.00001046131,0.00001446998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3906849,"threshold_uncertainty_score":0.8974815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6234322006084808,"score_gpt":0.631423106902669,"score_spread":0.007990906294188194,"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."}}