{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003774813,0.000160272,0.000530988,0.000288965,0.00003944424,0.000005814872,0.0001567569,0.0000368392,0.0002751271],"category_scores_gemma":[0.0008802236,0.0001362495,0.00009525636,0.0001852098,0.0005403344,0.0001836139,0.0001304181,0.0001917104,0.00001569319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008192226,"about_ca_system_score_gemma":0.00007101394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064566,"about_ca_topic_score_gemma":0.00005736995,"domain_scores_codex":[0.9983281,0.0001983898,0.0004507116,0.0003527057,0.0002200736,0.0004500397],"domain_scores_gemma":[0.9987829,0.0002704868,0.0001206654,0.0004277126,0.0001799299,0.0002182503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003068266,0.0002158014,0.880043,0.0001710471,0.00002882143,0.00001361123,0.0001995575,0.00002811677,0.1094482,0.00001658557,0.0006646991,0.008863762],"study_design_scores_gemma":[0.002146169,0.00009089631,0.9816408,0.0002122086,0.00002731632,0.000009814492,0.0003016021,0.01432871,0.001067138,0.00004053864,0.00003209963,0.000102674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961118,0.001726529,0.00008773462,0.001159757,0.00007303686,0.0005358263,0.00001690594,0.00002450374,0.0002638953],"genre_scores_gemma":[0.9982678,0.0003665213,0.001033311,0.00008805148,0.00008058211,0.0000892619,0.00002127147,0.0000218314,0.00003137613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108381,"threshold_uncertainty_score":0.5556092,"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."}}