{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0005677954,0.0001359681,0.0006348119,0.00005682935,0.0003137022,0.00001984545,0.0002778652,0.0002426391,0.00005595314],"category_scores_gemma":[0.0101713,0.0001054043,0.0001352913,0.00003741845,0.003090587,0.00005829419,0.0006240823,0.0004239516,0.0000220541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853049,"about_ca_system_score_gemma":0.00008301585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353964,"about_ca_topic_score_gemma":0.00003479143,"domain_scores_codex":[0.9983608,0.0001853168,0.0005790501,0.0003713654,0.0001781697,0.0003253564],"domain_scores_gemma":[0.9976808,0.0006937848,0.0002867794,0.000969202,0.000221058,0.000148418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000594003,0.0003172044,0.8446637,0.00004632963,0.0002963272,0.000009835875,0.00006533316,1.371527e-7,0.007200019,0.000006924854,0.0007234979,0.1460767],"study_design_scores_gemma":[0.003291872,0.0006329319,0.9929141,0.0001671825,0.00005883,0.00001210772,0.00006191011,0.000358629,0.001346732,0.00006607948,0.0009997103,0.00008985328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958293,0.001347207,0.0000332293,0.001712369,0.0002534623,0.000434931,0.00002471636,0.00002865874,0.0003361342],"genre_scores_gemma":[0.9893095,0.006916422,0.00342106,0.00009613295,0.00007595621,0.00003948708,0.000004808987,0.00001437837,0.0001222223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482505,"threshold_uncertainty_score":0.9996224,"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."}}