{"id":"W4245887995","doi":"10.12688/gatesopenres.13063.1","title":"How can we make better health decisions a Best Buy for all?","year":2019,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Norwegian Institute of Public Health; Universitetet i Bergen; Imperial College London; London School of Hygiene and Tropical Medicine; World Health Organization; Department for International Development; Bill and Melinda Gates Foundation","keywords":"Health care; Economic growth; Business; International health; Health technology; Public health; Best practice; Health policy; Political science; Medicine; Economics; Nursing","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":[0.08041903,0.003160466,0.004397244,0.004187359,0.0138043,0.03994912,0.007517647,0.02737826,0.05177383],"category_scores_gemma":[0.1744796,0.001916008,0.002958087,0.00334285,0.0476428,0.06762467,0.02153712,0.05697488,0.03488621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01424061,"about_ca_system_score_gemma":0.05109432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694113,"about_ca_topic_score_gemma":0.01479624,"domain_scores_codex":[0.921684,0.05219667,0.00222377,0.005374916,0.01081872,0.00770208],"domain_scores_gemma":[0.8301664,0.07683396,0.007233578,0.01377582,0.02780336,0.0441869],"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":[0.00006400715,0.0001648676,0.000830662,0.000794807,0.0001701545,0.0001977742,0.004605289,0.0005569623,0.0001444907,0.1197285,0.7984051,0.07433742],"study_design_scores_gemma":[0.00005086053,0.00006675808,0.0004510639,0.002038736,0.00005599768,0.0001289145,0.009593518,0.0003261374,0.000185344,0.391603,0.5953787,0.0001210345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001935416,0.004205552,0.002409174,0.9811508,0.004983198,0.00002610406,0.0001000535,0.0001160104,0.006815437],"genre_scores_gemma":[0.04904218,0.04120089,0.02893397,0.8367787,0.01863362,0.0004502387,0.0007547105,0.0007647473,0.02344085],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08041903,"threshold_uncertainty_score":0.4253016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8016460908133434,"score_gpt":0.5922668857259564,"score_spread":0.2093792050873869,"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."}}