{"id":"W1606476099","doi":"10.1007/bf03404831","title":"Measuring Population Health: Correlates of the Health Utilities Index Among English and French Canadians","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Health Care Issues","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Hospital for Sick Children; University of British Columbia; Arthritis Research Centre of Canada; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Health Canada","keywords":"Population health; Index (typography); Cross-sectional study; Medicine; Demography; Health Utilities Index; Population; Gerontology; Health economics; Environmental health; Psychology; Public health; Disease; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007480339,0.0002666055,0.0009321146,0.000628883,0.00222803,0.00004633576,0.0004921976,0.0002581101,0.0006036766],"category_scores_gemma":[0.001518402,0.0002249067,0.0001197935,0.0007956061,0.0002859743,0.0004526553,0.00002557734,0.001572323,0.000008084968],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005011357,"about_ca_system_score_gemma":0.05030333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9348829,"about_ca_topic_score_gemma":0.9750581,"domain_scores_codex":[0.9917352,0.002799252,0.002421151,0.0002825054,0.0006240332,0.002137884],"domain_scores_gemma":[0.9907812,0.0003927491,0.00186318,0.0004550644,0.0009101535,0.005597668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004929152,0.00001192621,0.8983337,0.0005501135,0.00002200163,0.000003264221,0.04618554,0.00002692204,1.711224e-8,0.0008218937,0.03078477,0.02325498],"study_design_scores_gemma":[0.0004923139,0.0002623684,0.8819996,0.001257303,0.0000038494,0.00001854865,0.0132278,0.00006228209,4.20551e-8,0.0002868364,0.1022655,0.0001235512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293733,0.01149499,0.00002189353,0.05342984,0.002476986,0.001093387,0.0002327911,0.00002761079,0.001849266],"genre_scores_gemma":[0.9882084,0.0006700475,0.00009510284,0.009761945,0.0004897317,0.000009629434,0.00001921079,0.00004090773,0.0007050129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07148073,"threshold_uncertainty_score":0.9990709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08468486611996612,"score_gpt":0.3467750817492963,"score_spread":0.2620902156293302,"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."}}