{"id":"W3084346572","doi":"10.2196/21377","title":"The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; Centers for Disease Control and Prevention; Drexel University; School of Medicine, New York University; York University; Johns Hopkins University","keywords":"Medicine; Population; Type 2 diabetes; Gerontology; Cohort; Environmental health; Psychological intervention; Socioeconomic status; Diabetes mellitus; Demography; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05068098,0.003463081,0.003938807,0.004911941,0.005202964,0.003205867,0.004740028,0.003459918,0.03757103],"category_scores_gemma":[0.04707147,0.004023804,0.002642304,0.006967635,0.001965476,0.002348518,0.003182326,0.005519944,0.007711061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004883704,"about_ca_system_score_gemma":0.02187204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031884,"about_ca_topic_score_gemma":0.01888887,"domain_scores_codex":[0.9740086,0.0147791,0.004877123,0.002899626,0.002242538,0.001193004],"domain_scores_gemma":[0.9698511,0.007215174,0.003872811,0.007371879,0.009749467,0.001939558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.07311024,0.01204704,0.05033493,0.02679493,0.00291427,0.001876058,0.00564723,0.01094249,0.006582653,0.03106291,0.6240742,0.1546131],"study_design_scores_gemma":[0.09707854,0.008344681,0.08317767,0.01551824,0.002172777,0.001053496,0.002931195,0.01350887,0.003654707,0.02489064,0.7467552,0.0009139523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002260936,0.0003784721,0.01910047,0.000339204,0.0003893004,0.9495134,0.02475809,0.0002285769,0.003031552],"genre_scores_gemma":[0.001302226,0.0001156283,0.008954669,0.000137727,0.00002375203,0.9864447,0.002540994,0.00001800854,0.0004623692],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05068098,"threshold_uncertainty_score":0.2680299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2273672572644292,"score_gpt":0.5132976079260941,"score_spread":0.2859303506616649,"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."}}