{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01044016,0.000940516,0.001181653,0.001433041,0.001988529,0.004873886,0.001397626,0.004832227,0.01030392],"category_scores_gemma":[0.01948671,0.0003863283,0.000675593,0.0005396874,0.005634218,0.005556779,0.00477324,0.01875618,0.005243476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00311034,"about_ca_system_score_gemma":0.007936278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263898,"about_ca_topic_score_gemma":0.01002108,"domain_scores_codex":[0.9953492,0.001201276,0.0002177458,0.0005730248,0.002239091,0.000419581],"domain_scores_gemma":[0.9803357,0.004969838,0.0006017006,0.0009007117,0.005228721,0.007963362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006478575,0.00006838603,0.0004623047,0.0001296562,0.00001785348,0.0001129565,0.0002594583,0.00007373386,0.0003913861,0.01741011,0.9305496,0.05045966],"study_design_scores_gemma":[0.0000600735,0.0001244584,0.0007555509,0.0005940972,0.0000230088,0.0004302455,0.0003552963,0.0001654366,0.0005581733,0.02518097,0.9717121,0.00004056311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005361356,0.03776705,0.003367686,0.8869797,0.06259409,0.00002793513,0.00005518,0.000105644,0.008566526],"genre_scores_gemma":[0.0238166,0.08873214,0.01112647,0.7079828,0.09590439,0.00008748691,0.0001009108,0.0003269791,0.07192228],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01044016,"threshold_uncertainty_score":0.05521351,"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."}}