{"id":"W4286582004","doi":"10.5772/intechopen.98110","title":"Multiple Sclerosis - Genetics, Disease Mechanisms and Clinical Developments","year":2022,"lang":"en","type":"book","venue":"IntechOpen eBooks","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; European Commission; Royal Society of Biology; Wellcome Trust; Royal College of Pathologists of Australasia; National Aeronautics and Space Administration","keywords":"Multiple sclerosis; Disease; Medical genetics; Genetics; Biology; Evolutionary biology; Computational biology; Medicine; Pathology; Immunology; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003655933,0.0007301064,0.0007066813,0.0009171069,0.0004656656,0.003113472,0.0006217989,0.001275104,0.01945807],"category_scores_gemma":[0.001139864,0.0003091699,0.0004758316,0.00134766,0.0009886271,0.002157667,0.000985235,0.002993695,0.01332279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008657665,"about_ca_system_score_gemma":0.0008349029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008318634,"about_ca_topic_score_gemma":0.001543084,"domain_scores_codex":[0.9997644,0.00004484058,0.00001112994,0.00003290634,0.0001285721,0.00001822281],"domain_scores_gemma":[0.9997287,0.0001367966,0.00002162947,0.00001677083,0.00004629812,0.00004983095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004825322,0.00006793078,0.0003064149,0.000902741,0.00002241147,0.0005769316,0.0003090889,0.0004127153,0.001569859,0.05437996,0.6495152,0.2918885],"study_design_scores_gemma":[0.0000064344,0.00001804675,0.0003503114,0.0004281016,0.000005952607,0.001411224,0.00006398349,0.00007025256,0.00008237571,0.01468369,0.9828734,0.000006215748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001812223,0.7165789,0.004005129,0.03214117,0.01582726,0.00007017184,0.0005217307,0.0004742274,0.2285692],"genre_scores_gemma":[0.01147939,0.4549368,0.009215978,0.0241139,0.009132386,0.0001502681,0.0007353022,0.0003447175,0.4898913],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01945807,"threshold_uncertainty_score":0.06509376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0531564473082817,"score_gpt":0.3064105786782809,"score_spread":0.2532541313699992,"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."}}