{"id":"W2010004913","doi":"10.1007/s00415-007-0595-7","title":"Long T2 water in multiple sclerosis: What else can we learn from multi-echo T2 relaxation?","year":2007,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Multiple Sclerosis Society of Canada","keywords":"Multiple sclerosis; Magnetization transfer; White matter; Myelin; Neuroradiology; Nuclear magnetic resonance; Neurology; Echo (communications protocol); Lesion; Medicine; Nuclear medicine; Relaxation (psychology); Magnetic resonance imaging; Pathology; Chemistry; Radiology; Physics; Internal medicine; Central nervous system","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":[0.009172153,0.001003516,0.002168061,0.0009881995,0.0007081058,0.002478137,0.003006816,0.007009177,0.002409901],"category_scores_gemma":[0.01870453,0.0005795681,0.0007169187,0.001009714,0.004940737,0.01219895,0.00124675,0.006049365,0.001244572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009725425,"about_ca_system_score_gemma":0.001825117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620858,"about_ca_topic_score_gemma":0.007475492,"domain_scores_codex":[0.9991847,0.0003221438,0.0001068598,0.0001202457,0.0001754369,0.00009064544],"domain_scores_gemma":[0.9887902,0.006871045,0.000752179,0.0006725496,0.001950382,0.0009637992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002121294,0.0005345134,0.01697051,0.01065188,0.0007551273,0.003717005,0.002275423,0.002023203,0.009291099,0.01111553,0.1109361,0.8296083],"study_design_scores_gemma":[0.001179617,0.003075488,0.06568995,0.01920922,0.003060457,0.02000072,0.0180756,0.01011289,0.0172985,0.2871854,0.553771,0.001341137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01796726,0.7991499,0.008659529,0.1649542,0.005767459,0.00003987266,0.0001142772,0.000191332,0.003156251],"genre_scores_gemma":[0.1445539,0.7652333,0.01189006,0.03900607,0.03611147,0.00009731515,0.0001361919,0.0001225399,0.002849178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009172153,"threshold_uncertainty_score":0.04850757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353200085543075,"score_gpt":0.3108295096577732,"score_spread":0.2572975088023425,"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."}}