{"id":"W4402019684","doi":"10.3389/fncel.2024.1428652","title":"The evolution of mesenchymal stem cell-derived neural progenitor therapy for Multiple Sclerosis: from concept to clinic","year":2024,"lang":"en","type":"review","venue":"Frontiers in Cellular Neuroscience","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Remyelination; Multiple sclerosis; Experimental autoimmune encephalomyelitis; Medicine; Mesenchymal stem cell; Neuroscience; Neurodegeneration; Progenitor cell; Neuroinflammation; Cell therapy; Clinical trial; Neural stem cell; Immune system; Tolerability; Biomanufacturing; Stem-cell therapy; Stem cell; Disease; Central nervous system; Immunology; Pharmacology; Myelin; Biology; Pathology; Adverse effect; Internal medicine","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":[0.0005550904,0.0004035725,0.0006310383,0.0008354162,0.0001822338,0.001053442,0.0004464717,0.0006936067,0.001030765],"category_scores_gemma":[0.000411843,0.0001668426,0.0003927999,0.0005604938,0.0004639558,0.001282374,0.0004898742,0.001405934,0.0005355699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497748,"about_ca_system_score_gemma":0.0007145038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990424,"about_ca_topic_score_gemma":0.0005201467,"domain_scores_codex":[0.9997606,0.00005289133,0.00003278521,0.00003737945,0.00009770658,0.00001866263],"domain_scores_gemma":[0.9998734,0.00005462633,0.0000166683,0.000004313501,0.00003792417,0.00001307853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001433704,0.0001110528,0.0003785222,0.01732134,0.0001174531,0.00074033,0.0004238961,0.001040869,0.0487253,0.02229901,0.01189795,0.8968009],"study_design_scores_gemma":[0.00002424359,0.0005240578,0.0006205191,0.002491773,0.0001490347,0.002379528,0.0001525125,0.0005126587,0.01254263,0.004478897,0.976082,0.00004206957],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002070002,0.9900047,0.00338672,0.001177036,0.0005841798,0.00001766255,0.00002329868,0.00002509501,0.002711212],"genre_scores_gemma":[0.009635384,0.9851525,0.002707481,0.0007765286,0.0004142072,0.0000282055,0.00003638274,0.00000737521,0.001241977],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001053442,"threshold_uncertainty_score":0.003448308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343962852524545,"score_gpt":0.3558075982010834,"score_spread":0.2214113129486289,"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."}}