{"id":"W2115140807","doi":"10.1148/radiol.12120863","title":"Multiple Sclerosis: Validation of MR Imaging for Quantification and Detection of Iron","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Magnetic resonance imaging; White matter; Nuclear medicine; Multiple sclerosis; Pathology; Radiology","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":[0.0002395768,0.00006044321,0.0002215196,0.0001127612,0.0000409425,0.000003142385,0.00003136914,0.00004453511,0.00001102931],"category_scores_gemma":[0.0008630587,0.00005184475,0.00003779471,0.00006858903,0.0001596704,0.00006874696,0.00001916713,0.00004629042,0.000002524593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540618,"about_ca_system_score_gemma":0.00001244686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897653,"about_ca_topic_score_gemma":0.000008578473,"domain_scores_codex":[0.9993532,0.00005478892,0.0002359458,0.0001536881,0.00007605201,0.000126349],"domain_scores_gemma":[0.9991759,0.0002998708,0.0001201972,0.0001396472,0.0002306548,0.0000337378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008044815,0.00003204271,0.06955676,0.0001677288,0.00002227862,2.427866e-8,0.000157175,0.000009848248,0.8986276,0.0000223085,0.0001170209,0.03120681],"study_design_scores_gemma":[0.001023623,0.0001605998,0.5510721,0.00003724289,0.00002198875,0.000003872515,0.0001679977,0.009660808,0.4377216,0.00003978636,0.0000574427,0.00003292955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990245,0.0004507612,0.008005594,0.000434609,0.00005979302,0.0007537949,0.000008078375,0.00001499577,0.00002732154],"genre_scores_gemma":[0.9976682,0.0003285329,0.00174906,0.00001323026,0.0000453396,0.0001498277,0.0000210853,0.000008199258,0.00001650345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4815154,"threshold_uncertainty_score":0.2114168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07298323721078752,"score_gpt":0.3109561633279556,"score_spread":0.2379729261171681,"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."}}