{"id":"W4361240779","doi":"10.1093/brain/awad051","title":"Monitoring recovery after CNS demyelination, a novel tool to de-risk pro-remyelinating strategies","year":2023,"lang":"en","type":"article","venue":"Brain","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; McGill University; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Centre National de la Recherche Scientifique; Sorbonne Université; Association Sorbonne Université; Institut National de la Santé et de la Recherche Médicale; European Commission; Institut du Cerveau et de la Moelle Epinière; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Brain Science Institute, Johns Hopkins University","keywords":"Neuroscience; Multiple sclerosis; Medicine; Psychology; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003038334,0.0005348749,0.0005100495,0.0006285845,0.0001655757,0.0003408866,0.0002441339,0.0004369579,0.0007493429],"category_scores_gemma":[0.0002507991,0.0001117647,0.000197315,0.0002277867,0.0001887588,0.0003846789,0.0002205809,0.0005384343,0.0003271617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922775,"about_ca_system_score_gemma":0.0001882151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003582534,"about_ca_topic_score_gemma":0.0006948625,"domain_scores_codex":[0.9998198,0.00003479516,0.00001539773,0.00004803559,0.00005863763,0.00002339849],"domain_scores_gemma":[0.9997697,0.00002574476,0.0001027011,0.00001968351,0.00004896533,0.00003309465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004323593,0.00008993716,0.003411135,0.0002972923,0.00002841132,0.00009233358,0.00004765043,0.000303102,0.9675057,0.0001033433,0.000164499,0.02752426],"study_design_scores_gemma":[0.0000271684,0.004591738,0.06184953,0.00008212921,0.0001874746,0.001288268,0.0001487296,0.00402348,0.9222807,0.0004102586,0.005062421,0.00004811488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400247,0.02074722,0.0344213,0.0002098007,0.00009566197,0.0001646076,0.0009154479,0.0006884017,0.002732714],"genre_scores_gemma":[0.9768803,0.006729329,0.01305285,0.0001275682,0.00004083882,0.0001264007,0.000535827,0.00003991441,0.002466954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007493429,"threshold_uncertainty_score":0.002506852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04443563440194651,"score_gpt":0.2963979569546359,"score_spread":0.2519623225526894,"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."}}