{"id":"W2945525123","doi":"10.1136/rmdopen-2018-000872","title":"Development of one general and six country-specific algorithms to assess societal health utilities based on ASAS HI","year":2019,"lang":"en","type":"article","venue":"RMD Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Assessment of SpondyloArthritis international Society","keywords":"Medicine; Ankylosing spondylitis; BASDAI; Population; Axial spondyloarthritis; Preference; Algorithm; Demography; Disease; Gerontology; Statistics; Environmental health; Surgery; Internal medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0132571,0.001085248,0.0009806397,0.002415037,0.0003275228,0.001392956,0.0009923943,0.00100402,0.002678907],"category_scores_gemma":[0.0462818,0.0004211056,0.00136664,0.001334532,0.0003653388,0.001234644,0.001485962,0.001132655,0.0004033992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000951731,"about_ca_system_score_gemma":0.001108187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162261,"about_ca_topic_score_gemma":0.002443053,"domain_scores_codex":[0.9939688,0.004068817,0.000573076,0.0005873266,0.0006701701,0.0001318179],"domain_scores_gemma":[0.9792117,0.01539106,0.001514182,0.0009273955,0.002733767,0.0002218332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001941262,0.0007485216,0.1602248,0.0003783575,0.001100539,0.00006130175,0.0005081209,0.140543,0.00184908,0.00452094,0.003641489,0.6844826],"study_design_scores_gemma":[0.0006144141,0.001101963,0.06285363,0.0001857763,0.0003258218,0.0002399568,0.0004556077,0.9207916,0.003207515,0.007059693,0.00300965,0.0001545292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2309891,0.0004278236,0.7603669,0.0003115869,0.00006605576,0.002263405,0.001218147,0.001097432,0.003259544],"genre_scores_gemma":[0.3137779,0.0001425264,0.6827911,0.00008259124,0.00001571722,0.001669482,0.0009896351,0.00004918934,0.0004818752],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0132571,"threshold_uncertainty_score":0.0701111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5243930914090544,"score_gpt":0.4603630309950026,"score_spread":0.06403006041405185,"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."}}