{"id":"W2415915394","doi":"10.1177/0272989x16651885","title":"Handling Regional Variation in Health State Preferences within a Country","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; McMaster University; Public Health Ontario; University of Toronto; University of Alberta","funders":"","keywords":"Estimator; Jurisdiction; Regional variation; Valuation (finance); Health care; Population; Estimation; Variation (astronomy); Computer science; Statistics; Econometrics; Medicine; Mathematics; Economics; Business; Political science; Environmental health; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.03171364,0.0001454976,0.0006991097,0.0003885562,0.0001437717,0.00006407957,0.0003159081,0.0001588475,0.001288259],"category_scores_gemma":[0.01964935,0.000126489,0.00005215831,0.0002660486,0.00006736494,0.0003995169,0.00006870604,0.0002013831,0.0008324608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000668853,"about_ca_system_score_gemma":0.0005389155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015588,"about_ca_topic_score_gemma":0.002308286,"domain_scores_codex":[0.9937457,0.0003992603,0.00447197,0.0005717754,0.0004007758,0.0004105249],"domain_scores_gemma":[0.9927014,0.004785435,0.00190407,0.0003159075,0.00004435771,0.0002488646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003685649,0.0004693706,0.2624092,0.0007885681,0.0001071792,0.00002417103,0.01600606,0.001451548,0.000008751643,0.4724939,0.03736294,0.2085097],"study_design_scores_gemma":[0.003557803,0.0002141494,0.2264767,0.007369912,0.000002281337,0.00002508525,0.0004226462,0.04398033,0.000001059905,0.6386651,0.07864784,0.0006371776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3592675,0.001511237,0.5757286,0.06027995,0.001454793,0.0005703843,0.0000781284,0.00006477308,0.001044649],"genre_scores_gemma":[0.969476,0.0003714257,0.0126706,0.0168402,0.0003033984,0.00004817695,0.000006274261,0.00002416692,0.0002597578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6102085,"threshold_uncertainty_score":0.9999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3358983584913475,"score_gpt":0.4612256250656939,"score_spread":0.1253272665743465,"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."}}