{"id":"W2102688457","doi":"10.1177/0272989x03258438","title":"A Comparison of the Health Utilities Indices Mark 2 and Mark 3 in Type 2 Diabetes","year":2003,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Type 2 diabetes; Medicine; Type (biology); Actuarial science; Statistics; Econometrics; Gerontology; Computer science; Mathematics; Economics; Diabetes mellitus; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006529375,0.0003201731,0.0005473624,0.001264968,0.0001980754,0.0007387375,0.0005049555,0.0003614648,0.001077304],"category_scores_gemma":[0.01330955,0.0001488802,0.001235325,0.00177587,0.0003447881,0.0005937735,0.0006496385,0.0006885841,0.0001159814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264401,"about_ca_system_score_gemma":0.0005817481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171528,"about_ca_topic_score_gemma":0.01015031,"domain_scores_codex":[0.9974668,0.001339282,0.000181802,0.0001543296,0.0006978494,0.0001599496],"domain_scores_gemma":[0.9946979,0.002738332,0.00152769,0.0003252313,0.0003958135,0.000314911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006005432,0.000206224,0.9632452,0.0001142996,0.001157774,0.00003550406,0.000161388,0.001482797,0.0002815878,0.0002745561,0.0006251655,0.02641024],"study_design_scores_gemma":[0.0001023353,0.0008069708,0.9947902,0.00002691321,0.0001987474,0.00007498979,0.0001233736,0.002974536,0.000211278,0.0002753375,0.0003961808,0.00001907894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948512,0.00111237,0.001240492,0.00009121068,0.00002065788,0.000080921,0.00121219,0.00001899154,0.001372055],"genre_scores_gemma":[0.9985549,0.00009994044,0.0005328513,0.00002891893,0.000006980538,0.00003929462,0.00061271,0.000003357018,0.0001209365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171528,"threshold_uncertainty_score":0.03453106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.309939607171056,"score_gpt":0.483733908751534,"score_spread":0.1737943015804781,"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."}}