{"id":"W2613587632","doi":"10.1016/j.clim.2017.05.009","title":"Genetic modifiers of multiple sclerosis progression, severity and onset","year":2017,"lang":"en","type":"article","venue":"Clinical Immunology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Novartis Pharmaceuticals Canada; Vancouver Coastal Health Research Institute; Canada Research Chairs; Vancouver Foundation; Canadian Institutes of Health Research; Ministère de la Santé et des Services sociaux","keywords":"Multiple sclerosis; Medicine; Cohort; Internal medicine; Exome sequencing; Clinical phenotype; Disease; Age of onset; Logistic regression; Clinically isolated syndrome; Oncology; Phenotype; Immunology; Gene; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001096828,0.0005896425,0.0003937548,0.001627306,0.0007779948,0.0007684694,0.0005812362,0.0007587984,0.005123653],"category_scores_gemma":[0.003863646,0.000248702,0.0006363185,0.001300108,0.0004818506,0.0006099354,0.0005422227,0.0006835581,0.0003272647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030431,"about_ca_system_score_gemma":0.0006065331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513772,"about_ca_topic_score_gemma":0.003877453,"domain_scores_codex":[0.9987197,0.0005619734,0.0001354271,0.0002747677,0.0001515179,0.0001565037],"domain_scores_gemma":[0.9973785,0.0008741756,0.0009726592,0.00028179,0.0001801917,0.0003126505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004105095,0.0003803658,0.9606485,0.0001248068,0.0009474759,0.001120934,0.0005995635,0.0001174353,0.01763283,0.0008529854,0.0004202182,0.0130499],"study_design_scores_gemma":[0.00004535723,0.0002703484,0.9964695,0.00002178704,0.0002444219,0.0006947089,0.0001590593,0.00007406317,0.001199576,0.0002927058,0.0005215527,0.000006881935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963245,0.001264327,0.0002595123,0.0001822953,0.00002322822,0.00001275566,0.0004636147,0.00001885825,0.00145092],"genre_scores_gemma":[0.9980312,0.000310252,0.0003748769,0.00004574983,0.00003034744,0.00001427025,0.000289869,0.000009935718,0.0008935433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005123653,"threshold_uncertainty_score":0.01714033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070305135232656,"score_gpt":0.4377647399124182,"score_spread":0.2307342263891526,"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."}}