{"id":"W2110072926","doi":"10.1007/bf03405008","title":"Is There Regional Variation in the SF-36 Scores of Canadian Adults?","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Eli Lilly (Canada); University of Toronto; Université Laval; Kingston Health Sciences Centre; University of Calgary; McGill University; McMaster University; Queen's University","funders":"Medical Research Council; Health Canada; Promotion and Mutual Aid Corporation for Private Schools of Japan; Medical Research Council Canada; Eli Lilly Canada; Dairy Farmers of Canada; Procter and Gamble; Eli Lilly and Company","keywords":"Normative; Multilevel model; SF-36; Variation (astronomy); Demography; Quality of life (healthcare); Psychology; Regional variation; Bayesian hierarchical modeling; Gerontology; Medicine; Bayesian probability; Health related quality of life; Bayesian inference; Statistics; Sociology; Disease; Pathology; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.006692391,0.0004023914,0.0009184228,0.003258374,0.002209901,0.00186132,0.001979723,0.0006616312,0.002025255],"category_scores_gemma":[0.02495262,0.0004284279,0.001177267,0.008646855,0.001953929,0.000766444,0.001321116,0.0008580891,0.0002693805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01482082,"about_ca_system_score_gemma":0.01967061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775515,"about_ca_topic_score_gemma":0.9867975,"domain_scores_codex":[0.9935016,0.0008796367,0.000619725,0.001128094,0.002446058,0.001424833],"domain_scores_gemma":[0.9884465,0.002291689,0.001757463,0.0007056886,0.005991949,0.0008067644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000168762,0.00002442021,0.9675501,0.0001373162,0.000341071,0.0000831564,0.004139767,0.0001772241,0.0003608417,0.000586826,0.002805219,0.02362521],"study_design_scores_gemma":[0.000004145444,0.00001285067,0.9971133,0.00004486966,0.00005688129,0.00003540243,0.00146255,0.0000642401,0.00003942123,0.00006455516,0.001088171,0.00001350203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769586,0.006483551,0.0008633703,0.00366544,0.0001554948,0.00006361156,0.00481115,0.00002896205,0.006969869],"genre_scores_gemma":[0.994412,0.00168239,0.0006503637,0.0004944492,0.00003751549,0.00003413421,0.002127243,0.00002228639,0.0005397325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02244848,"threshold_uncertainty_score":0.1075331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6952606420739589,"score_gpt":0.4414378629931276,"score_spread":0.2538227790808313,"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."}}