{"id":"W4385694372","doi":"10.1016/j.msard.2023.104934","title":"Iron in multiple sclerosis – Neuropathology, immunology, and real-world considerations","year":2023,"lang":"en","type":"review","venue":"Multiple Sclerosis and Related Disorders","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta; Queen's University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Excitotoxicity; Multiple sclerosis; Neurotoxicity; Neuropathology; Medicine; Oxidative stress; Ferritin; Deferoxamine; Immunology; Immune system; Neuroprotection; Innate immune system; Central nervous system; Physiology; Neuroscience; Glutamate receptor; Toxicity; Pathology; Disease; Biology; Pharmacology; Endocrinology; Internal medicine","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":[0.001022221,0.0009533378,0.001830487,0.002041098,0.0003311037,0.001338117,0.001276318,0.002024701,0.002643539],"category_scores_gemma":[0.0009550364,0.0002884381,0.000368191,0.002108537,0.0009898131,0.001774139,0.0009479035,0.002540984,0.001729914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009431393,"about_ca_system_score_gemma":0.001379499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432699,"about_ca_topic_score_gemma":0.00370135,"domain_scores_codex":[0.9997938,0.00004637254,0.00002767946,0.00003334993,0.00007569515,0.0000231198],"domain_scores_gemma":[0.9994903,0.0002782657,0.00004980277,0.00001534841,0.0001114901,0.00005478551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001622727,0.00006558022,0.0002082454,0.01393795,0.0001079675,0.0004313396,0.00006266236,0.0005242174,0.001262465,0.01053025,0.117696,0.855011],"study_design_scores_gemma":[0.00002607136,0.00005896007,0.0005687237,0.004048203,0.00008538946,0.00143381,0.00005526744,0.0001310925,0.0001649959,0.005043682,0.9883659,0.00001802856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002091493,0.9991747,0.00003494298,0.0002821632,0.0002062736,7.862627e-7,0.000004236239,0.000002420239,0.0002735307],"genre_scores_gemma":[0.0003362643,0.9983026,0.00008913769,0.0003248172,0.0005613489,0.000002808025,0.00001150945,0.000001006131,0.0003704602],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002643539,"threshold_uncertainty_score":0.008843482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05634555039097719,"score_gpt":0.2756353304680608,"score_spread":0.2192897800770836,"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."}}