{"id":"W4283826416","doi":"10.9778/cmajo.20210113","title":"Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment","year":2022,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; Trinity Western University; Simon Fraser University; University of British Columbia","funders":"","keywords":"Population; Logit; Preference; Discrete choice; Demographics; Scale (ratio); Logistic regression; Mixed logit; Demography; Medicine; SF-36; Statistics; Psychology; Mathematics; Health related quality of life; Geography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02955971,0.000152079,0.0007204702,0.0004376551,0.0009012012,0.0001725579,0.0005139557,0.00004630689,0.0001645678],"category_scores_gemma":[0.001856332,0.0001729643,0.00007503128,0.0003923322,0.00002670552,0.0003566837,0.00009482969,0.0001200348,0.000007757197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528619,"about_ca_system_score_gemma":0.0008806045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9542246,"about_ca_topic_score_gemma":0.6471142,"domain_scores_codex":[0.995574,0.001280407,0.002216674,0.0004409597,0.0001121809,0.0003758037],"domain_scores_gemma":[0.9948947,0.002732037,0.00166863,0.0004730745,0.00005675593,0.0001747726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002392553,0.0001958088,0.7774374,0.0004542317,0.0002239719,3.566585e-7,0.009879802,0.1845277,0.000003152902,0.002648959,0.005609114,0.01878018],"study_design_scores_gemma":[0.00110445,0.0001055377,0.4581073,0.00004780855,0.00000405333,5.739308e-7,0.000351794,0.538542,0.000003269428,0.000154625,0.001421215,0.0001573945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671379,0.001595924,0.2019068,0.006470206,0.001299936,0.00911356,0.01229337,0.00002756645,0.0001547949],"genre_scores_gemma":[0.9873921,0.000009802489,0.00878945,0.001641384,0.00005845752,0.0006947572,0.00130634,0.00003446882,0.0000731843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540142,"threshold_uncertainty_score":0.9992725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7104595972377327,"score_gpt":0.4835234181755519,"score_spread":0.2269361790621807,"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."}}