{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005027397,0.0001204394,0.000617455,0.0007273464,0.0001357393,0.00001097796,0.0001631793,0.00004032645,0.00009755541],"category_scores_gemma":[0.0002971452,0.0001145682,0.00005719974,0.001376758,0.00003338828,0.0002500335,0.00008142109,0.0002843465,0.000001676872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007391496,"about_ca_system_score_gemma":0.001799941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004544135,"about_ca_topic_score_gemma":0.0002151695,"domain_scores_codex":[0.9969172,0.0006395362,0.00132519,0.0001562906,0.0005326494,0.000429059],"domain_scores_gemma":[0.9967926,0.00008845081,0.002329221,0.0001997309,0.0003875413,0.0002024201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004175248,0.0002328526,0.9295323,0.0007831132,0.00004043806,0.000001592304,0.003921749,0.00001382397,0.000006622372,0.00007377217,0.001024771,0.06432723],"study_design_scores_gemma":[0.001188855,0.0009381719,0.9879816,0.0004695807,0.0000164821,0.000005632042,0.00662662,0.0003388472,0.00006094773,0.0000784902,0.002220203,0.00007461799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924698,0.0008419639,0.00002576036,0.00554833,0.0005785193,0.0003726394,0.000009536001,0.000007797539,0.0001455847],"genre_scores_gemma":[0.9981518,0.0007000119,0.0005412012,0.000380417,0.00005175651,0.000006530031,0.0000746616,0.00001889095,0.00007469484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06425261,"threshold_uncertainty_score":0.4671956,"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."}}