{"id":"W4290667613","doi":"10.1523/jneurosci.0312-22.2022","title":"Peroxisome Injury in Multiple Sclerosis: Protective Effects of 4-Phenylbutyrate in CNS-Associated Macrophages","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Multiple sclerosis; Adrenoleukodystrophy; Neuroinflammation; Immunolabeling; Peroxisome; Microglia; Biology; Proteolipid protein 1; Chemistry; Myelin; Endocrinology; Myelin basic protein; Immunology; Inflammation; Central nervous system; Immunohistochemistry; Biochemistry","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":[0.0002019149,0.0004603658,0.0003557676,0.0002134502,0.0001641114,0.000212184,0.0001765607,0.0003997599,0.001062799],"category_scores_gemma":[0.00007074261,0.0001361746,0.0002756203,0.0001884115,0.0002249138,0.0002115269,0.0001428557,0.0004509533,0.0003684042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473307,"about_ca_system_score_gemma":0.0002344957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614385,"about_ca_topic_score_gemma":0.0008174579,"domain_scores_codex":[0.9999161,0.00001986056,0.0000105661,0.00001665529,0.00001476162,0.00002202775],"domain_scores_gemma":[0.9999493,0.000004693692,0.00001204678,0.000007492698,0.00001050283,0.00001599789],"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":[0.0006303807,0.00004766781,0.0001077139,0.00006243049,0.000004795167,0.00004745789,0.000009851145,0.00002205995,0.9975595,0.00001405212,0.00002257512,0.001471542],"study_design_scores_gemma":[0.00006710132,0.001729844,0.004054156,0.00001286828,0.00003358394,0.0003058796,0.00003206628,0.0001365608,0.9922431,0.00003277863,0.001348485,0.00000356894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873025,0.009294501,0.001552058,0.0003235684,0.00007122281,0.00004668385,0.0003922529,0.00009871743,0.0009185099],"genre_scores_gemma":[0.9888249,0.005560551,0.001869772,0.0001196745,0.00003889619,0.00008509322,0.0005566546,0.00001936798,0.002925171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001062799,"threshold_uncertainty_score":0.003555477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642885952390444,"score_gpt":0.2405993046719728,"score_spread":0.2241704451480683,"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."}}