{"id":"W2038899919","doi":"10.1016/j.ajhg.2013.05.026","title":"Identification of Multiple Genetic Susceptibility Loci in Takayasu Arteritis","year":2013,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Mount Sinai Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Allergy and Infectious Diseases; National Center for Research Resources; National Institute of General Medical Sciences; National Institutes of Health; University of Michigan; Vasculitis Foundation","keywords":"Takayasu arteritis; Identification (biology); Genetics; Biology; Medicine; Vasculitis; Pathology; Disease; Botany","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":[0.0002371599,0.00008276094,0.0003101546,0.0001199306,0.00005220679,0.00001501359,0.0001645111,0.00002689037,0.0001715779],"category_scores_gemma":[0.0000439901,0.00005758989,0.0001374328,0.000207626,0.0004485477,0.00003286165,0.0000202944,0.0002245945,0.00001641291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004378919,"about_ca_system_score_gemma":0.00005196061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031528,"about_ca_topic_score_gemma":0.00003115783,"domain_scores_codex":[0.9986978,0.0001142181,0.0007270309,0.00009125557,0.0002285241,0.0001411393],"domain_scores_gemma":[0.9986553,0.00004399371,0.000613525,0.000317641,0.0002901657,0.0000793463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005115961,0.0004867939,0.2135335,0.00004722666,0.0002186059,0.0000402744,0.002357289,0.000661619,0.7208937,0.00003417795,0.0008856453,0.06078997],"study_design_scores_gemma":[0.000784729,0.0009251853,0.9899495,0.00005745718,0.0001004331,0.0002543335,0.001214827,0.0003771165,0.005276218,0.0009583607,0.00003805545,0.00006377314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982321,0.0005637402,0.0003135843,0.0005808123,0.00004883792,0.0002036964,0.000004108831,0.000003917071,0.00004923033],"genre_scores_gemma":[0.998732,0.0003947352,0.000621549,0.00008184278,0.00009112886,0.000004438514,0.000002959019,0.00001263969,0.00005875569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.776416,"threshold_uncertainty_score":0.2348448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228903036923928,"score_gpt":0.266231633707728,"score_spread":0.2539426033384887,"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."}}