{"id":"W2009524946","doi":"10.1148/radiol.13130474","title":"Longitudinal MR Imaging of Iron in Multiple Sclerosis: An Imaging Marker of Disease","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Globus pallidus; Red nucleus; Magnetic resonance imaging; Caudate nucleus; Putamen; Substantia nigra; Thalamus; Analysis of variance; Nuclear medicine; Pathology; Internal medicine; Basal ganglia; Parkinson's disease; Disease; Radiology; Central nervous system; Nucleus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449772,0.0003768176,0.0002869301,0.0005518657,0.0002457385,0.0003222358,0.0002498742,0.0005124891,0.0004740667],"category_scores_gemma":[0.001649909,0.0001641121,0.0001999448,0.0003850996,0.0002146177,0.0003542372,0.0002707981,0.000440984,0.0001530843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952328,"about_ca_system_score_gemma":0.0002204186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008492076,"about_ca_topic_score_gemma":0.001325479,"domain_scores_codex":[0.9998525,0.00004669368,0.0000167731,0.00003432361,0.00003147051,0.00001810895],"domain_scores_gemma":[0.9986346,0.0001516602,0.000825885,0.00005698552,0.0001560609,0.0001747647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007874457,0.0001815812,0.9816034,0.00005441989,0.0001012776,0.0001674247,0.0001003309,0.0001066311,0.01059495,0.00001248766,0.00008626114,0.006203867],"study_design_scores_gemma":[0.00001562194,0.001053699,0.9968046,0.0000103834,0.00006905248,0.0007295597,0.00004160906,0.0002408771,0.0008193807,0.0000173846,0.0001930449,0.000004767389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99861,0.0009840569,0.0001367169,0.0000506977,0.000005749403,0.000006319436,0.00006169272,0.000005978559,0.0001386303],"genre_scores_gemma":[0.9988056,0.0003249273,0.0004979845,0.00002424818,0.00002841613,0.000008880929,0.0001392044,0.000001851268,0.0001686759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008492076,"threshold_uncertainty_score":0.003939867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503723424619106,"score_gpt":0.3046092197167097,"score_spread":0.2495719854705186,"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."}}