{"id":"W3081780086","doi":"","title":"of Therapeutic Lag in Relapsing Multiple Sclerosis","year":2020,"lang":"en","type":"article","venue":"Document Server@UHasselt (UHasselt)","topic":"Healthcare and Venom Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Medicine; Lag; Immunology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001142793,0.0003600193,0.000884912,0.0003070562,0.0001179178,0.00006415806,0.0003794401,0.0002738746,0.0005654744],"category_scores_gemma":[0.0003684311,0.0003359035,0.0002607769,0.001248767,0.0001019084,0.0003676939,0.0001801882,0.0008073572,0.0001635642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003409141,"about_ca_system_score_gemma":0.0005118596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427451,"about_ca_topic_score_gemma":0.0003510749,"domain_scores_codex":[0.9960046,0.0003507333,0.001001462,0.0007044547,0.001049563,0.0008892297],"domain_scores_gemma":[0.9979035,0.0003484801,0.0002163424,0.0006608768,0.0002528569,0.0006179011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002573487,0.00174492,0.8426154,0.003586122,0.0005329197,0.0003888502,0.006252085,0.0001411309,0.09414393,0.003338576,0.003912086,0.04077045],"study_design_scores_gemma":[0.02894305,0.007346509,0.8020234,0.003735038,0.0004398611,0.00007765288,0.005579674,0.009884397,0.08222459,0.00225338,0.05552223,0.001970265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691417,0.001618709,0.0002574953,0.02611624,0.0001647733,0.00128124,0.00001469262,0.0001428607,0.001262339],"genre_scores_gemma":[0.9947529,0.0006464079,0.0007073928,0.003221297,0.0001899007,0.0000676853,0.00006744205,0.00008040571,0.000266531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05161014,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586441914389426,"score_gpt":0.3641086525456844,"score_spread":0.2054644611067418,"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."}}