{"id":"W2129000391","doi":"10.1093/brain/aws100","title":"Limiting multiple sclerosis related axonopathy by blocking Nogo receptor and CRMP-2 phosphorylation","year":2012,"lang":"en","type":"article","venue":"Brain","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Medical Research Council; Monash University; Multiple Sclerosis Society; National Health and Medical Research Council; Multiple Sclerosis International Federation; Multiple Sclerosis Australia; Baker Foundation","keywords":"Experimental autoimmune encephalomyelitis; Multiple sclerosis; Myelin oligodendrocyte glycoprotein; Neurodegeneration; Encephalomyelitis; Neuroscience; Medicine; Biology; Immunology; Pathology; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001364811,0.0006526918,0.0003093238,0.0002248962,0.0001285094,0.0002397771,0.0003624555,0.0003192879,0.001367334],"category_scores_gemma":[0.0001046393,0.0001605832,0.0002742977,0.0001026079,0.0002542623,0.0002467273,0.0002542412,0.0004727713,0.0004830705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414712,"about_ca_system_score_gemma":0.0002470408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506824,"about_ca_topic_score_gemma":0.000765815,"domain_scores_codex":[0.9998449,0.00001835443,0.0000137823,0.00003142804,0.00003287997,0.0000585517],"domain_scores_gemma":[0.9999281,0.000007969783,0.0000263325,0.000006766183,0.000006208395,0.00002455674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002439769,0.00006220619,0.00005675,0.00007064072,0.000008265218,0.00006848673,0.000008816874,0.00007085305,0.9976611,0.0001204683,0.000063012,0.001565567],"study_design_scores_gemma":[0.0001562255,0.001766933,0.003530534,0.00002244911,0.00004615403,0.0009478167,0.00002251439,0.00121786,0.9867337,0.0001436257,0.005401779,0.00001047666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863808,0.005703726,0.003431175,0.0001758108,0.0000642607,0.0001269378,0.0002468501,0.000223973,0.003646417],"genre_scores_gemma":[0.9893546,0.003354711,0.003084581,0.000133961,0.00003270152,0.0001247738,0.0004643757,0.00003733113,0.003413107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001367334,"threshold_uncertainty_score":0.00457418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05854669547431959,"score_gpt":0.2381411061371174,"score_spread":0.1795944106627978,"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."}}