{"id":"W4402953925","doi":"10.3174/ajnr.a8510","title":"Multicenter Automated Central Vein Sign Detection Performs as Well as Manual Assessment for the Diagnosis of Multiple Sclerosis","year":2024,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Foundation for the National Institutes of Health","keywords":"Medicine; Sign (mathematics); Multicenter study; Multiple sclerosis; Vein; Radiology; Pathology; Surgery","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":[0.01678685,0.0007115873,0.0007215642,0.001586902,0.0005095177,0.001614402,0.0007015617,0.001105227,0.001313574],"category_scores_gemma":[0.03112814,0.0003834265,0.0009110416,0.000569372,0.0006393754,0.001129236,0.000947152,0.0005621534,0.001149047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167846,"about_ca_system_score_gemma":0.000473443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491111,"about_ca_topic_score_gemma":0.002496724,"domain_scores_codex":[0.987824,0.005910904,0.0007796832,0.002858108,0.002272864,0.0003545091],"domain_scores_gemma":[0.9667801,0.0157956,0.007331089,0.002498258,0.00678591,0.000809028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004227063,0.0004957137,0.8626377,0.0003325727,0.001670042,0.000120358,0.0005634117,0.004482951,0.01361152,0.0002987363,0.002526202,0.1090337],"study_design_scores_gemma":[0.0002518055,0.00305106,0.9166904,0.0002205377,0.0006331119,0.001613235,0.0003335074,0.06514905,0.007839906,0.0007028155,0.003395044,0.0001195491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755956,0.002090621,0.01598712,0.0001808654,0.0001726894,0.0002047255,0.0004901823,0.0005234441,0.004754838],"genre_scores_gemma":[0.9927542,0.0001397192,0.006387393,0.00007137097,0.00004628002,0.00003506065,0.0002812404,0.00003260724,0.0002521357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01678685,"threshold_uncertainty_score":0.08877844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268253664247997,"score_gpt":0.3531093783851323,"score_spread":0.3104268417426524,"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."}}