{"id":"W2003955798","doi":"10.1016/j.jneuroim.2009.11.015","title":"HLA-DRB1 allele heterogeneity influences multiple sclerosis severity as well as risk in Western Australia","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroimmunology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de la Santé et des Services sociaux","keywords":"Multiple sclerosis; Genotype; Human leukocyte antigen; Allele; Genotyping; Disease; Cohort; Immunology; Population; Medicine; Genetics; Biology; Internal medicine; Antigen; Gene; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000660778,0.0002928455,0.0008863061,0.0004613874,0.0001363095,0.00004267509,0.000438698,0.0002092419,0.0002225632],"category_scores_gemma":[0.002217519,0.0002407864,0.000285116,0.0003523086,0.0003028497,0.0003043326,0.0001530807,0.00144321,0.0003556473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578938,"about_ca_system_score_gemma":0.0001378813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006961998,"about_ca_topic_score_gemma":0.0002979513,"domain_scores_codex":[0.9969305,0.0005104421,0.0009761432,0.0003477292,0.0005923151,0.0006428324],"domain_scores_gemma":[0.9980742,0.0003404052,0.0005957137,0.0004284647,0.0003478765,0.000213344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001738435,0.0006673806,0.7452498,0.00002151661,0.0001873538,0.0004793949,0.0003144667,0.0001349244,0.2454647,0.000001986152,0.0007013656,0.005038622],"study_design_scores_gemma":[0.00407774,0.003320997,0.9780934,0.0001387414,0.00005914868,0.0007443759,0.0001282845,0.00004892607,0.005628724,0.00007637555,0.007515415,0.0001678681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952845,0.0007970873,0.00000460901,0.003090177,0.0002496388,0.0003180348,0.000007521428,0.00002591462,0.0002225058],"genre_scores_gemma":[0.9923789,0.006142778,0.0002756824,0.0007390162,0.0001427052,0.000005159231,0.00000233767,0.00001850641,0.0002949401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.239836,"threshold_uncertainty_score":0.9818984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031036668739902,"score_gpt":0.3620944310239155,"score_spread":0.2589907641499253,"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."}}