{"id":"W2993855007","doi":"10.1017/cjn.2019.329","title":"Human Leukocyte Antigen Genotype as a Marker of Multiple Sclerosis Prognosis","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Expanded Disability Status Scale; Fluid-attenuated inversion recovery; Human leukocyte antigen; Medicine; Magnetic resonance imaging; Genotype; Internal medicine; Biomarker; Oncology; Immunology; Antigen; Radiology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361764,0.0003222847,0.0004270383,0.0005755863,0.0002634194,0.0003585901,0.0002528035,0.0004751051,0.001964948],"category_scores_gemma":[0.003665359,0.000118287,0.0003001352,0.0007512752,0.0002621151,0.0004010563,0.0003057658,0.0003031367,0.0003904159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160472,"about_ca_system_score_gemma":0.0002019755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006217192,"about_ca_topic_score_gemma":0.0005280672,"domain_scores_codex":[0.9992913,0.0003400268,0.000071928,0.0001358895,0.00009144998,0.00006934123],"domain_scores_gemma":[0.9967764,0.0007788458,0.001515686,0.000279248,0.0002459973,0.0004038226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006979833,0.00002344233,0.9964754,0.000009502716,0.00006001928,0.00008070156,0.00002822883,0.00007708583,0.0005883938,0.000007105039,0.00003211281,0.001920087],"study_design_scores_gemma":[0.00002272504,0.000447763,0.9983326,0.000007739551,0.0000467434,0.0004829619,0.00003760608,0.0002461803,0.0002329315,0.00002868621,0.0001094521,0.000004605482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994104,0.0002538066,0.00009084048,0.00002194982,0.000004594731,0.000004721336,0.00007829684,0.000003212305,0.0001321785],"genre_scores_gemma":[0.9997936,0.00002473549,0.00006216046,0.000006280061,0.0000053862,0.000002902452,0.00004534063,9.837534e-7,0.00005863374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001964948,"threshold_uncertainty_score":0.007201731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09338121958673258,"score_gpt":0.3124438783721776,"score_spread":0.219062658785445,"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."}}