{"id":"W4205332651","doi":"10.1177/10105395211072497","title":"Determinants of Health Service Utilization Among Adults at High Risk of Developing Type 2 Diabetes in Kerala, India","year":2022,"lang":"en","type":"article","venue":"Asia Pacific Journal of Public Health","topic":"Diabetes Management and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"National Health and Medical Research Council","keywords":"Medicine; Logistic regression; Population; Odds ratio; Health care; Gerontology; Environmental health; Quarter (Canadian coin); Social determinants of health; Public health; Nursing; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002041734,0.0001291903,0.0001486703,0.0005889738,0.0002793456,0.00064061,0.0001979068,0.0001433222,0.0006224049],"category_scores_gemma":[0.0007516408,0.0001401307,0.000242147,0.0007032714,0.0002255658,0.0001823793,0.0003775053,0.0003461559,0.00009473125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077114,"about_ca_system_score_gemma":0.0005413794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03367762,"about_ca_topic_score_gemma":0.0370592,"domain_scores_codex":[0.999737,0.00006690417,0.00003308423,0.00002510294,0.0000475021,0.00009037487],"domain_scores_gemma":[0.9995769,0.00008831081,0.0001857767,0.00002029183,0.00004513887,0.00008362727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001091852,0.00003238041,0.9983462,0.00000868076,0.00001728456,0.00008128602,0.0002037395,0.0000472821,0.00009186385,0.00002091881,0.00005457474,0.001084842],"study_design_scores_gemma":[0.000001080541,0.00002102375,0.9991666,0.000004197322,0.000008641999,0.0001453235,0.0004646808,0.00009276972,0.00002064056,0.000008075495,0.00006523729,0.000001734486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995715,0.00007302956,0.00001756374,0.00004395625,0.000001081742,0.000002388968,0.00006240351,0.00000211735,0.0002259822],"genre_scores_gemma":[0.9998137,0.00006173857,0.00001890697,0.00001573335,0.000002105044,0.000001876663,0.00004759989,4.328191e-7,0.00003790372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03367762,"threshold_uncertainty_score":0.06696314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457113711351793,"score_gpt":0.3111368935124385,"score_spread":0.2654255223772592,"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."}}