{"id":"W2065003169","doi":"10.1177/0272989x07300603","title":"A Comparison of EQ-5D Index Scores Derived from the US and UK Population-Based Scoring Functions","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"EQ-5D; Index (typography); Statistics; Population; Mathematics; Preference; Medicine; Econometrics; Health related quality of life; Computer science; Environmental health","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0120549,0.0001373216,0.0006904953,0.0002425013,0.0003018477,0.00006242961,0.0002758647,0.0001841739,0.001065156],"category_scores_gemma":[0.01431875,0.0001290427,0.0000874229,0.0002441376,0.000103324,0.000121584,0.00008858723,0.0002655504,0.0001140643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703826,"about_ca_system_score_gemma":0.0000999743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178047,"about_ca_topic_score_gemma":0.002305925,"domain_scores_codex":[0.9956221,0.0001490784,0.003216045,0.0003985746,0.0003334706,0.0002807592],"domain_scores_gemma":[0.9886956,0.009329097,0.001326285,0.0004065129,0.00005731438,0.000185189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003651929,0.00003616909,0.9849729,0.000023996,0.00001902547,9.495351e-7,0.0003257657,0.0007426027,0.000002692894,0.00205594,0.0009939221,0.01078955],"study_design_scores_gemma":[0.0005643107,0.00002969797,0.9228483,0.0004134373,0.000006152869,0.000001113281,0.0003821308,0.06696445,0.000004697002,0.00733984,0.001320686,0.0001251741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6914768,0.001145721,0.3041703,0.002210516,0.0005311818,0.0002005533,0.00003608345,0.00001924969,0.0002096168],"genre_scores_gemma":[0.9905996,0.00001262125,0.005156239,0.00385991,0.0003099133,0.0000120083,0.0000221202,0.00001681125,0.00001082015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2991228,"threshold_uncertainty_score":0.999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4097289198443677,"score_gpt":0.4661064639734716,"score_spread":0.05637754412910395,"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."}}