{"id":"W4386758337","doi":"10.1177/13524585231198751","title":"Accuracy of serum neurofilament light to identify contrast-enhancing lesions in multiple sclerosis","year":2023,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Multiple Sclerosis Society of Canada; U.S. Department of Defense","keywords":"Medicine; Youden's J statistic; Multiple sclerosis; Magnetic resonance imaging; Area under the curve; Asymptomatic; Biomarker; Nuclear medicine; Expanded Disability Status Scale; Internal medicine; Gastroenterology; Pathology; Receiver operating characteristic; Radiology; Immunology; Chemistry","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":[0.002557964,0.0006138929,0.001401574,0.001974581,0.0007191921,0.0002264317,0.0007076077,0.0002353194,0.0003541452],"category_scores_gemma":[0.01223741,0.0005470186,0.0006036619,0.002870776,0.0001962396,0.0005491569,0.0007906641,0.001343184,0.000450275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549459,"about_ca_system_score_gemma":0.000335618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003764472,"about_ca_topic_score_gemma":0.001279246,"domain_scores_codex":[0.9928341,0.0004657683,0.002041676,0.0008862307,0.001983456,0.001788753],"domain_scores_gemma":[0.994456,0.002124346,0.0005792947,0.0008848091,0.0008221022,0.001133462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004091157,0.0004436075,0.2348886,0.0001470503,0.0001706033,0.00006763837,0.001804782,0.0006499537,0.712274,0.000003123415,0.005140677,0.04400096],"study_design_scores_gemma":[0.007068187,0.0004048514,0.8395202,0.002701978,0.00006808677,0.00003242456,0.001935736,0.002686827,0.1442128,0.00001057883,0.0009678268,0.0003905277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892082,0.0004835043,0.0003790603,0.006747055,0.0008609879,0.001796911,0.0001544382,0.0002093654,0.0001605033],"genre_scores_gemma":[0.9917828,0.004869385,0.001806187,0.0005121695,0.0004671217,0.0002027789,0.00001845385,0.0001333634,0.0002077246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6046317,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1775357534313472,"score_gpt":0.3591333426746686,"score_spread":0.1815975892433213,"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."}}