{"id":"W3026848541","doi":"10.3174/ajnr.a6547","title":"Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis","year":2020,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Instituto de Salud Carlos III; Red Española de Esclerosis Múltiple; Agència de Gestió d'Ajuts Universitaris i de Recerca; Generalitat de Catalunya; European Committee for Treatment and Research in Multiple Sclerosis; Ministerio de Economía y Competitividad; Sanofi","keywords":"Medicine; Multiple sclerosis; Clinically isolated syndrome; Susceptibility weighted imaging; Vein; McDonald criteria; Radiology; Pathology; Nuclear medicine; Internal medicine; Magnetic resonance imaging; Immunology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007357697,0.0001546584,0.001017669,0.0002342022,0.00003288087,0.000004381199,0.0004095767,0.00002596285,0.0000303072],"category_scores_gemma":[0.00394161,0.0001003539,0.0002549167,0.0007929386,0.001247332,0.00006896242,0.00009381057,0.0005131034,0.000001514862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003820996,"about_ca_system_score_gemma":0.0001139878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168725,"about_ca_topic_score_gemma":0.00001306382,"domain_scores_codex":[0.9973166,0.0008273498,0.0009069638,0.0002149731,0.0004300996,0.0003040074],"domain_scores_gemma":[0.9962016,0.00229448,0.0007433304,0.0002793349,0.0003270521,0.0001542193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006415154,0.0002546092,0.8804104,0.00005492465,0.00008613768,0.00006144957,0.002318795,0.00006319965,0.09826133,0.00001762185,0.000703403,0.01712666],"study_design_scores_gemma":[0.001858866,0.00360815,0.9847604,0.0001172485,0.0000711286,0.0001103501,0.002676656,0.0008126277,0.005558447,0.00002018519,0.0003317023,0.0000742214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823105,0.0004111468,0.0001229439,0.01676875,0.00005987011,0.000247895,0.00001439004,0.000005622481,0.00005888933],"genre_scores_gemma":[0.9954222,0.001712154,0.001033015,0.001672851,0.0001319666,0.000008950509,0.000001345315,0.00001698319,5.707982e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043501,"threshold_uncertainty_score":0.471876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0741467827520744,"score_gpt":0.317229311626865,"score_spread":0.2430825288747906,"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."}}