{"id":"W4385604394","doi":"10.1016/j.ncl.2023.06.008","title":"Recent Advances in Diagnostic, Prognostic, and Disease-Monitoring Biomarkers in Multiple Sclerosis","year":2023,"lang":"en","type":"review","venue":"Neurologic Clinics","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"St. Michael's Hospital Foundation; St. Michael’s Hospital Foundation","keywords":"Medicine; Disease; Multiple sclerosis; Disease monitoring; Intensive care medicine; Clinical Practice; Pathology; Physical therapy; Immunology","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001354556,0.0006030533,0.002348755,0.0006684369,0.00009699716,0.00004500595,0.0002979202,0.0003847321,0.00001191517],"category_scores_gemma":[0.136495,0.0004719971,0.0002876969,0.001236069,0.000333269,0.000102397,0.0006432874,0.001386782,0.00006112581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527226,"about_ca_system_score_gemma":0.0003328059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314287,"about_ca_topic_score_gemma":0.0001135133,"domain_scores_codex":[0.9951167,0.0006291051,0.001580805,0.001233125,0.0005885552,0.0008517851],"domain_scores_gemma":[0.9737484,0.02465273,0.0003951931,0.0006058878,0.00009868409,0.0004991039],"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":[0.0001144932,0.0002153127,0.2700479,0.008675382,0.00005834194,0.0004533446,0.00001611165,0.000003462153,1.743956e-7,7.041171e-7,0.00007636399,0.7203384],"study_design_scores_gemma":[0.001562104,0.0004086427,0.2785092,0.02188085,0.000379175,0.000005878461,0.00003155678,0.0001284886,1.040167e-7,0.00003337136,0.6966902,0.0003704507],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003376485,0.991227,5.261345e-7,0.0005486515,0.000735078,0.003809634,0.0001087235,0.0001492032,0.00004475536],"genre_scores_gemma":[0.0006581162,0.997192,0.0001195505,0.00009675644,0.0002746095,0.001473099,0.00006994732,0.00009973483,0.00001617253],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.719968,"threshold_uncertainty_score":0.9997731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2966615208548912,"score_gpt":0.430677133961004,"score_spread":0.1340156131061129,"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."}}