{"id":"W1591925817","doi":"10.1002/glia.22722","title":"White matter injury: Ischemic and nonischemic","year":2014,"lang":"en","type":"review","venue":"Glia","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas; Alberta Heritage Foundation for Medical Research; Canada Research Chairs; Biotechnology and Biological Sciences Research Council; Multiple Sclerosis Society of Canada","keywords":"Excitotoxicity; White matter; Grey matter; Neuroscience; Ischemia; Biology; Glutamate receptor; Oligodendrocyte; Microglia; Pathology; Brain ischemia; Stroke (engine); Receptor; Central nervous system; Medicine; Inflammation; Myelin; Immunology; Internal medicine; Genetics","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":[0.0003847971,0.001267643,0.001464768,0.003431362,0.0004525364,0.001399186,0.0008057185,0.001304739,0.00473799],"category_scores_gemma":[0.0004756022,0.0002347617,0.000428624,0.003090243,0.0009637342,0.001939663,0.001005283,0.001469624,0.003353751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007936746,"about_ca_system_score_gemma":0.001315127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443887,"about_ca_topic_score_gemma":0.00212242,"domain_scores_codex":[0.9998386,0.00001967622,0.00002743466,0.0000347909,0.00006066733,0.00001884882],"domain_scores_gemma":[0.9998167,0.00005130316,0.00003583468,0.000007578988,0.00006124025,0.00002723988],"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":[0.00006497037,0.00005294172,0.0002399608,0.01079251,0.00005346815,0.0002680384,0.0001012823,0.0001909172,0.00116219,0.005127599,0.03335089,0.9485952],"study_design_scores_gemma":[0.000009219841,0.00006897632,0.001410443,0.004824402,0.00006654645,0.002862776,0.0001274616,0.00006355371,0.0003641194,0.004846243,0.9853379,0.00001835078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00012017,0.9974498,0.0001242038,0.0002631466,0.0002682878,0.000005468886,0.00001911405,0.00001042996,0.001739333],"genre_scores_gemma":[0.0007677622,0.9976562,0.0001129417,0.0001599354,0.0002354342,0.000005958205,0.00003041768,0.00000183303,0.001029468],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00473799,"threshold_uncertainty_score":0.01585019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889590390840909,"score_gpt":0.3092165824211935,"score_spread":0.2703206785127844,"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."}}