{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002897091,0.0009238709,0.002184468,0.002726267,0.0005189686,0.002480638,0.001488917,0.002621485,0.004506288],"category_scores_gemma":[0.006525355,0.000425243,0.001047813,0.002835117,0.001783888,0.005952452,0.001266396,0.004187283,0.001798764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008556642,"about_ca_system_score_gemma":0.002342701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346535,"about_ca_topic_score_gemma":0.002957547,"domain_scores_codex":[0.9994584,0.0001308164,0.0001179031,0.0001067847,0.0001483701,0.00003772086],"domain_scores_gemma":[0.9957824,0.002614419,0.0003154411,0.0001222718,0.0008792797,0.0002862976],"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":[0.0001421606,0.00005781537,0.0004220794,0.04315903,0.0001820086,0.0003636519,0.000243244,0.0003050642,0.0004521632,0.005632579,0.05261689,0.8964234],"study_design_scores_gemma":[0.00003662648,0.0001758212,0.001902554,0.027151,0.00029444,0.002898397,0.0004713332,0.0001247111,0.0002231495,0.01147986,0.9551824,0.00005974528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005274537,0.9967525,0.00005407519,0.002238213,0.0006743036,0.000001718065,0.00001071098,0.000003893929,0.0002119469],"genre_scores_gemma":[0.0004581627,0.9972221,0.0001233416,0.001022522,0.001015891,0.000003836719,0.0000132044,0.000001493874,0.0001395549],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004506288,"threshold_uncertainty_score":0.01532143,"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."}}