{"id":"W2059530420","doi":"10.1089/dia.2013.0106","title":"Delivering on George Eisenbarth's Visionary Pursuit of Understanding Pathogenesis and Prevention of Type 1 Diabetes","year":2013,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juvenile Diabetes Research Foundation","funders":"","keywords":"Medicine; Type 2 diabetes; Diabetes mellitus; George (robot); Disease; Intensive care medicine; Gerontology; Internal medicine; Endocrinology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001393265,0.0001687049,0.0002483016,0.0001614087,0.00005952609,0.00001227586,0.0002200789,0.0003130681,0.00001798589],"category_scores_gemma":[0.00002930773,0.0001629732,0.00007504197,0.0002411038,0.0002740295,0.000008603212,0.0001613163,0.00008929068,0.000003386548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001538078,"about_ca_system_score_gemma":0.00002348956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002147178,"about_ca_topic_score_gemma":0.000001781421,"domain_scores_codex":[0.9990301,0.00003725456,0.0002503812,0.0002595542,0.0001249543,0.0002977848],"domain_scores_gemma":[0.9993605,0.00003558235,0.000179792,0.0002784831,0.0001128186,0.00003279825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008595533,0.0001050826,0.1231894,0.00003882679,0.000278477,1.165842e-7,0.00001742551,0.00002051893,0.8378417,0.0004992268,0.00003847801,0.03796216],"study_design_scores_gemma":[0.0008155316,0.002100131,0.030418,0.0001524265,0.0001826898,3.04948e-7,0.0005186196,0.0004704621,0.9499499,0.01372501,0.001282682,0.0003842467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954966,0.003664783,0.00007537485,0.000304436,0.00006626282,0.0002152551,0.00001578048,0.00003006531,0.0001314925],"genre_scores_gemma":[0.9982892,0.0009964618,0.0003727916,0.0002090383,0.00001254303,0.000018141,0.00003769808,0.00002807399,0.00003606175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121082,"threshold_uncertainty_score":0.6645856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412666687855715,"score_gpt":0.2327237665114279,"score_spread":0.2185970996328707,"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."}}