{"id":"W3120596209","doi":"10.1007/s11136-020-02730-z","title":"Valuing health-related quality of life using a hybrid approach: Tunisian value set for the EQ-5D-3L","year":2021,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"EuroQol Research Foundation; World Health Organization","keywords":"Akaike information criterion; Statistics; EQ-5D; Econometrics; Logistic regression; Population; Heteroscedasticity; Quality-adjusted life year; Valuation (finance); Quality of life (healthcare); Mathematics; Goodness of fit; Health economics; Actuarial science; Public health; Medicine; Economics; Health related quality of life; Environmental health; Cost effectiveness; Accounting","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":[0.00403099,0.0005635007,0.0004324787,0.002017572,0.0004317223,0.00200226,0.0006266085,0.0003777472,0.002177503],"category_scores_gemma":[0.006693549,0.0001435314,0.0009707795,0.002201547,0.0004390493,0.0008930874,0.001034565,0.0004770845,0.0002081652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811443,"about_ca_system_score_gemma":0.0008675585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008796841,"about_ca_topic_score_gemma":0.009338599,"domain_scores_codex":[0.9983842,0.001061085,0.00008981965,0.0001382459,0.0002581016,0.00006839103],"domain_scores_gemma":[0.9985535,0.0007417806,0.000304558,0.0001035359,0.0002623919,0.00003423909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009382039,0.0005661614,0.4338905,0.0009801646,0.0009717877,0.0005493399,0.004310402,0.08548836,0.00520335,0.02344603,0.00337605,0.4402797],"study_design_scores_gemma":[0.0001531384,0.001748039,0.5307497,0.001150222,0.0003869832,0.000811772,0.006269601,0.4079028,0.004708373,0.02538038,0.02052108,0.0002179382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208442,0.000899767,0.06699414,0.0005463263,0.00003158629,0.0003554493,0.001849169,0.00007128569,0.008408027],"genre_scores_gemma":[0.9630382,0.0002375756,0.0349652,0.00004302654,0.00001285458,0.0003448663,0.0007220609,0.000007264135,0.0006290547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008796841,"threshold_uncertainty_score":0.02131814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8856019607504907,"score_gpt":0.5685781166552663,"score_spread":0.3170238440952244,"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."}}