{"id":"W2513049672","doi":"10.1016/j.ypmed.2016.09.008","title":"The impact of access to health services on prediabetes awareness: A population-based study","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Diabetes Management and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; Ontario Tobacco Research Unit; University of Toronto","funders":"","keywords":"Prediabetes; Medicine; Odds; Psychological intervention; Environmental health; Logistic regression; National Health and Nutrition Examination Survey; Gerontology; Population; Odds ratio; Health care; Family medicine; Type 2 diabetes; Demography; Diabetes mellitus; Nursing; Internal medicine; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684985,0.0005622432,0.0007244843,0.001383847,0.001444277,0.00196063,0.0007703878,0.002049706,0.002270601],"category_scores_gemma":[0.005417943,0.001193387,0.001923,0.002692033,0.001051788,0.002249181,0.00147741,0.002653983,0.0004558753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007968373,"about_ca_system_score_gemma":0.0007361738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070667,"about_ca_topic_score_gemma":0.02122588,"domain_scores_codex":[0.9981428,0.0007014146,0.0001718649,0.0003138333,0.0002729719,0.000397096],"domain_scores_gemma":[0.9961776,0.0008898307,0.001215254,0.0003221771,0.0003827132,0.001012429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003332695,0.0006076121,0.9978235,0.000009801146,0.0001769949,0.00007201748,0.0002816569,0.00001688497,0.00006754276,0.00001702162,0.00005773724,0.0005359299],"study_design_scores_gemma":[0.00002238981,0.0004299711,0.9986618,0.000004628041,0.0001016941,0.00007628177,0.0005275853,0.00006531169,0.00001308894,0.00002034484,0.00006974674,0.0000071789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990324,0.0001450993,0.00004019683,0.00007446577,0.000007553625,0.00001411709,0.0001848721,0.000002067511,0.000499273],"genre_scores_gemma":[0.9993993,0.00009221254,0.00003978923,0.00007365229,0.00001613828,0.00001567578,0.0001556827,0.000002124071,0.0002054435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02070667,"threshold_uncertainty_score":0.04117233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006537997986229,"score_gpt":0.4063214651715872,"score_spread":0.3662560851917249,"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."}}