{"id":"W2589631167","doi":"10.3174/ajnr.a5109","title":"Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis","year":2017,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada); Multiple Sclerosis Society of Canada; Northern Alberta Institute of Technology; University of Alberta Hospital; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Genentech; Multiple Sclerosis Society of Canada; European Genomic Institute for Diabetes; Alberta Gambling Research Institute, University of Calgary; Canadian Institutes of Health Research; Teva Pharmaceutical Industries; Multiple Sclerosis Society; Biogen","keywords":"Globus pallidus; Putamen; White matter; Medicine; Atrophy; Grey matter; Thalamus; Neuroscience; Magnetic resonance imaging; Pathology; Internal medicine; Basal ganglia; Psychology; Radiology; 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":[0.0003227022,0.0003922887,0.0001657196,0.0005041297,0.0002309694,0.0002740784,0.0001298073,0.000240021,0.00106894],"category_scores_gemma":[0.0008152638,0.00009459764,0.0001897793,0.0002191017,0.0005089367,0.0002160833,0.000265622,0.0003921371,0.00009282468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702,"about_ca_system_score_gemma":0.0002095276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812753,"about_ca_topic_score_gemma":0.006168752,"domain_scores_codex":[0.9999465,0.00001409031,0.000004553536,0.00001098697,0.00001431739,0.000009599315],"domain_scores_gemma":[0.9994801,0.0001236544,0.000245485,0.00003614902,0.00004446828,0.00007025154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002337515,0.0003580961,0.9439297,0.0001427234,0.0002313571,0.0007234347,0.0009317778,0.001013727,0.0218712,0.0001904582,0.0003673048,0.02790269],"study_design_scores_gemma":[0.00001545746,0.0002015288,0.9978648,0.000006542985,0.00002005993,0.0003349889,0.0001008682,0.0003232532,0.000752523,0.0003135056,0.00006193589,0.000004451087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995167,0.0001092461,0.00005611455,0.00003847685,0.000001015924,0.000002794602,0.00003849725,0.000004291221,0.0002328642],"genre_scores_gemma":[0.9997694,0.00003581409,0.0000706661,0.00001340513,0.000003323953,0.000001571689,0.00003611688,9.091913e-7,0.0000688151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003812753,"threshold_uncertainty_score":0.007581115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625754570738978,"score_gpt":0.3509539755719169,"score_spread":0.2646964298645271,"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."}}