{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008041938,0.0004557752,0.0004657529,0.0001473574,0.0002393161,0.0001194965,0.0009227513,0.0005939743,0.0002469344],"category_scores_gemma":[0.0004822613,0.0004378892,0.0002577904,0.0000262029,0.000566969,0.000002773704,0.002548254,0.0006947235,0.00008444049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000946582,"about_ca_system_score_gemma":0.001268562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001208657,"about_ca_topic_score_gemma":0.00006242909,"domain_scores_codex":[0.9969395,0.0001175382,0.0008618459,0.0008122792,0.000724052,0.0005448103],"domain_scores_gemma":[0.9979931,0.00007325828,0.0002585484,0.0007790861,0.0001765832,0.0007193924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001139821,0.0003625464,0.001699928,0.0005541462,0.001671156,0.0001052895,0.0001987778,0.000002350188,0.0127967,0.0005816972,0.2219054,0.7589822],"study_design_scores_gemma":[0.00116816,0.0006762341,0.001003784,0.0001273295,0.0001112859,0.000008478791,0.00006266247,0.00008318816,0.003856357,0.002078795,0.9900926,0.000731063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02430318,0.007449004,0.01128373,0.0006153026,0.005893536,0.008147462,0.003258768,0.0002539637,0.9387951],"genre_scores_gemma":[0.02464221,0.00572528,0.008904967,0.001996276,0.0006763108,0.0002163175,0.002151137,0.0001945528,0.955493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7681873,"threshold_uncertainty_score":0.9998073,"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."}}