{"id":"W2781645547","doi":"10.3174/ajnr.a5504","title":"What Have We Learned from Perfusion MRI in Multiple Sclerosis?","year":2018,"lang":"en","type":"review","venue":"American Journal of Neuroradiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Chugai Pharmaceutical; Sanofi Genzyme; EMD Serono; Multiple Sclerosis Society of Canada; F. Hoffmann-La Roche; Teva Pharmaceutical Industries; Biogen; Sanofi","keywords":"Medicine; Multiple sclerosis; Perfusion; Magnetic resonance imaging; Neuroscience; Radiology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002030572,0.0003268705,0.002569171,0.000393824,0.00004658265,0.00001807328,0.0003407873,0.0001838347,0.0000523718],"category_scores_gemma":[0.0001561208,0.0002428309,0.0004821686,0.0003658804,0.000550957,0.0001221933,0.00008577883,0.001082089,0.00002700425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392359,"about_ca_system_score_gemma":0.0002206833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003230398,"about_ca_topic_score_gemma":0.000009531541,"domain_scores_codex":[0.9977905,0.0003295773,0.001032472,0.00039777,0.0001570493,0.000292612],"domain_scores_gemma":[0.9970499,0.0005909693,0.001563638,0.0004773842,0.0001253758,0.0001927555],"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":[0.00006335919,0.0000970607,0.00007908023,0.0001142656,0.00002654267,0.00008067256,0.00007543722,0.000003577996,0.00007933177,0.0000061277,0.001165407,0.9982091],"study_design_scores_gemma":[0.0004422448,0.0018778,0.0001429494,0.009487165,0.0003314087,0.001179265,0.0002122907,0.0000280209,0.000009087999,0.0001571921,0.9859453,0.0001873062],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001422672,0.9929332,0.002345969,0.002409721,0.0003278849,0.000482886,0.00001671937,0.00002759706,0.00003335796],"genre_scores_gemma":[0.0003979335,0.9869918,0.01131678,0.000472604,0.0006353316,0.00002989733,0.00003149996,0.00006733924,0.00005680662],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9980218,"threshold_uncertainty_score":0.9902357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604170594723014,"score_gpt":0.3861106284576842,"score_spread":0.2256935689853828,"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."}}