{"id":"W2962759208","doi":"10.1002/dmrr.3209","title":"Distinct two different ages associated with clinical profiles of acute onset type 1 diabetes in Chinese patients","year":2019,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Internal medicine; Gastroenterology; Medicine; Diabetic ketoacidosis; Diabetes mellitus; Autoantibody; Islet; Triglyceride; Insulin; Genotype; Cholesterol; Endocrinology; Biology; Immunology; Antibody; Genetics","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":[0.001572125,0.0002898284,0.0009207906,0.0001357078,0.00006756156,0.00004344384,0.0003029951,0.0001806903,0.00004216453],"category_scores_gemma":[0.00104154,0.0001792827,0.0001545859,0.0005136579,0.0002898432,0.00001432968,0.0002601915,0.0003741262,0.00001923723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001239139,"about_ca_system_score_gemma":0.00005081469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254976,"about_ca_topic_score_gemma":0.00005279424,"domain_scores_codex":[0.9969199,0.0008119658,0.0006248492,0.0005493727,0.0003659518,0.000727936],"domain_scores_gemma":[0.9986439,0.0001823967,0.0002590927,0.0004208226,0.0003105478,0.0001832368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005399252,0.0006258562,0.9858477,0.0001064407,0.0002215118,5.018255e-7,0.00001615255,3.226683e-7,0.006964441,0.00001134045,0.0007283642,0.005423396],"study_design_scores_gemma":[0.0022833,0.0009724558,0.9906703,0.0002768722,0.00005146163,3.556313e-8,0.00001064354,0.00003218552,0.002988624,0.0001244949,0.0023367,0.0002529337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850835,0.01323626,1.093843e-7,0.00004969231,0.0001447387,0.001032374,0.000134552,0.00000680677,0.0003119625],"genre_scores_gemma":[0.9907122,0.007582221,0.00002361975,0.00008387093,0.00006151947,0.00008401971,0.0009642789,0.00003219002,0.0004560651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005654044,"threshold_uncertainty_score":0.7310936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219209152516144,"score_gpt":0.3449262536576586,"score_spread":0.3227341621324971,"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."}}