{"id":"W3151610188","doi":"10.14740/jem227w","title":"Autoimmune Polyglandular Syndrome Type II: Epidemiological, Clinical and Immunological Data","year":2014,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Adrenal Hormones and Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Type 1 diabetes; Thyroiditis; Autoimmune thyroiditis; Epidemiology; Diabetes mellitus; Population; Outpatient clinic; Internal medicine; Disease; Thyroid disease; Pediatrics; Anti-thyroid autoantibodies; Thyroid; Autoantibody; Immunology; Endocrinology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069647,0.0001654794,0.001060758,0.0001044807,0.0001295344,0.000008222613,0.0002179415,0.0002172434,0.00008385262],"category_scores_gemma":[0.002382738,0.00009841538,0.0001038538,0.00008160855,0.0006004566,0.0001235916,0.000402776,0.0007203378,0.000005787546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002921948,"about_ca_system_score_gemma":0.00004807605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114747,"about_ca_topic_score_gemma":5.14507e-7,"domain_scores_codex":[0.9982508,0.0003015325,0.0007659356,0.0002588277,0.0001112224,0.0003116137],"domain_scores_gemma":[0.9986416,0.0003912104,0.0003024071,0.0003688968,0.0001045897,0.0001913718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006383358,0.002037927,0.3238648,0.0001175502,0.002821985,0.003105028,0.0002152895,0.000005202809,0.005546244,0.07030169,0.01081951,0.5747814],"study_design_scores_gemma":[0.003043017,0.001645029,0.7804601,0.00002574072,0.0003657586,0.01367054,0.00005667652,0.00008343274,0.00001004043,0.002463949,0.1980734,0.0001023562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283597,0.06608169,0.0002597137,0.004303476,0.0005260467,0.00007946667,0.000003525251,0.00001660735,0.0003697996],"genre_scores_gemma":[0.9707375,0.02497903,0.002589671,0.001265084,0.0002426768,6.58189e-7,0.00001024281,0.000008655688,0.0001665147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5746791,"threshold_uncertainty_score":0.4013263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355488025544066,"score_gpt":0.3597530141295542,"score_spread":0.2861981338741136,"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."}}