{"id":"W4394872849","doi":"10.1007/s11136-024-03649-5","title":"Valuing the SF-6Dv2 in the capital of Iran using a discrete choice experiment with duration","year":2024,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Econometrics; Statistics; Context (archaeology); Quality-adjusted life year; Mixed logit; Population; Valuation (finance); Dimension (graph theory); Mathematics; Logistic regression; Economics; Medicine; Geography; Cost effectiveness","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"],"consensus_categories":[],"category_scores_codex":[0.07800476,0.0001335858,0.0006383085,0.0004112108,0.0002241064,0.0001487278,0.0005215625,0.00008916719,0.0001102115],"category_scores_gemma":[0.005336078,0.00009820638,0.0001127445,0.0006978266,0.0003605931,0.0004027744,0.00008123103,0.0004320342,0.00007379493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606358,"about_ca_system_score_gemma":0.0004032137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635352,"about_ca_topic_score_gemma":0.001072107,"domain_scores_codex":[0.9923164,0.002808767,0.003448512,0.0004405961,0.0005525418,0.0004332055],"domain_scores_gemma":[0.9922541,0.006058099,0.0007918912,0.0006902503,0.0001205875,0.00008505072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002080899,0.0004205907,0.1615639,0.004719347,0.0003393201,0.000003582633,0.1916666,0.001872764,0.001290902,0.6341982,0.003435669,0.0002810536],"study_design_scores_gemma":[0.00385241,0.001242767,0.5055581,0.002795795,0.00003263275,0.00001915352,0.3147105,0.1018848,0.0009034282,0.04742326,0.02024844,0.001328693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956225,0.004918206,0.0009751304,0.03566484,0.0001225446,0.0009832762,0.00007745196,0.00001288113,0.001020628],"genre_scores_gemma":[0.9984613,0.00006543905,0.0005204076,0.0005237164,0.000221996,0.0000961653,0.000009654928,0.00002150434,0.00007982154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5867749,"threshold_uncertainty_score":0.9901966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7482336988328232,"score_gpt":0.5718961003024131,"score_spread":0.1763375985304101,"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."}}