{"id":"W2302873863","doi":"10.3174/ajnr.a4729","title":"Iron and Non-Iron-Related Characteristics of Multiple Sclerosis and Neuromyelitis Optica Lesions at 7T MRI","year":2016,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chugai Pharmaceutical; Guthy-Jackson Charitable Foundation; National Institutes of Health; National Multiple Sclerosis Society; Deutsche Forschungsgemeinschaft; Multiple Sclerosis Society; Alexion Pharmaceuticals; Canadian Institutes of Health Research; National Institute of Neurological Disorders and Stroke; Teva Pharmaceutical Industries; Biogen; Heart and Stroke Foundation of Canada","keywords":"Quantitative susceptibility mapping; Neuromyelitis optica; Medicine; Multiple sclerosis; Hyperintensity; Pathology; Magnetic resonance imaging; Gradient echo; Lesion; Susceptibility weighted imaging; Radiology; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005704226,0.0003235629,0.0002462232,0.001540825,0.0002041093,0.0003675258,0.0001651245,0.0004053421,0.0009977544],"category_scores_gemma":[0.001917295,0.0001566152,0.0001556647,0.0002446696,0.0002645121,0.0003179195,0.0002316296,0.000171645,0.0002413471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726588,"about_ca_system_score_gemma":0.0001116739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006553096,"about_ca_topic_score_gemma":0.0006893037,"domain_scores_codex":[0.9998662,0.00003477173,0.00002102704,0.0000267461,0.00003239997,0.00001879225],"domain_scores_gemma":[0.9992437,0.0001999865,0.0002324612,0.00005243664,0.00015284,0.000118497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001741534,0.0001700484,0.8694521,0.0001782153,0.0001948363,0.009358643,0.0008667149,0.0008162594,0.09387599,0.0001856121,0.0003666245,0.02279364],"study_design_scores_gemma":[0.00004071541,0.0005122765,0.9575029,0.00002726562,0.0001129762,0.02965491,0.000321518,0.002296512,0.008875689,0.0002061041,0.0004315369,0.00001749836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991702,0.0001824916,0.0001959816,0.00001368399,0.000001942717,0.000005770921,0.00002803724,0.000005748921,0.0003961287],"genre_scores_gemma":[0.9992347,0.00006586741,0.0004735142,0.00001459428,0.000009465883,0.000005571374,0.0000753389,0.000003926027,0.0001170715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001540825,"threshold_uncertainty_score":0.003337801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326697356172007,"score_gpt":0.2740486251617592,"score_spread":0.2413788895445584,"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."}}