{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965377,0.0002027582,0.0001602576,0.0002459196,0.0002642328,0.0002476829,0.0002674233,0.00006837948,0.00002187987],"category_scores_gemma":[0.003874885,0.0002067498,0.00008294262,0.000896431,0.00002442462,0.0003196254,0.0001816079,0.0001913605,0.0003498422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004697712,"about_ca_system_score_gemma":0.00009890323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009584197,"about_ca_topic_score_gemma":0.000007166958,"domain_scores_codex":[0.998017,0.0001573005,0.0003046361,0.0005973142,0.0003924739,0.0005312879],"domain_scores_gemma":[0.9986463,0.0008254066,0.00009854649,0.0002509724,0.00005353517,0.000125286],"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":[0.00005311396,0.00003894653,0.000506426,0.00001841882,0.000002544249,0.00007252673,0.0002903785,0.001929827,0.9897816,0.0005192414,0.0002203609,0.006566635],"study_design_scores_gemma":[0.0002822024,0.0001955281,0.01935473,0.00006799564,0.000009651003,0.00002777336,0.0001362155,0.003318962,0.9739696,0.0006906239,0.001664797,0.0002818994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842811,0.000005888456,0.01309371,0.0009759432,0.0006932068,0.0003622875,0.00004970686,0.0003903709,0.0001478057],"genre_scores_gemma":[0.9956473,0.00002761885,0.00174752,0.001210208,0.0003558718,0.0001782554,8.559533e-7,0.00005876055,0.0007736688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0188483,"threshold_uncertainty_score":0.8431011,"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."}}