{"id":"W4395666926","doi":"10.2196/53330","title":"A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Diabetes Management and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institutes of Health","keywords":"Epidemiology; Resource (disambiguation); Computer science; Set (abstract data type); Data science; Environmental health; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01462622,0.0004703821,0.0005054843,0.007293005,0.001015356,0.001398428,0.001857332,0.0009590769,0.009137373],"category_scores_gemma":[0.02539592,0.0004764108,0.0009293362,0.009696156,0.0004025622,0.001760689,0.003677319,0.0009059397,0.002191246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820928,"about_ca_system_score_gemma":0.005013673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096686,"about_ca_topic_score_gemma":0.02553008,"domain_scores_codex":[0.9936488,0.003159872,0.00118877,0.0006442839,0.001016868,0.0003413583],"domain_scores_gemma":[0.9806058,0.009658779,0.001646002,0.002490203,0.004304804,0.001294295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001150927,0.002561043,0.3862081,0.005860206,0.0003222393,0.00365111,0.006107065,0.004724209,0.002483311,0.01001822,0.2580629,0.3188508],"study_design_scores_gemma":[0.0009380272,0.0007777435,0.3465258,0.005288295,0.0006033694,0.003692566,0.01489348,0.0184194,0.007835964,0.007960903,0.5927925,0.0002720193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.294671,0.002570521,0.0547309,0.004839243,0.0002023436,0.01939424,0.6012295,0.003025841,0.01933618],"genre_scores_gemma":[0.2473748,0.00270699,0.2715819,0.0008959888,0.0001282875,0.02687685,0.4462632,0.0006373964,0.003534571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02096686,"threshold_uncertainty_score":0.07735175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2507002299224251,"score_gpt":0.4253042407531276,"score_spread":0.1746040108307025,"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."}}