{"id":"W2909833689","doi":"10.1016/j.neuron.2018.12.020","title":"Oligodendrocyte Progenitor Cells Become Regionally Diverse and Heterogeneous with Age","year":2019,"lang":"en","type":"article","venue":"Neuron","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":375,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge; Biotechnology and Biological Sciences Research Council; European Research Council; Fonds de Recherche du Québec - Santé; Gates Cambridge Trust; Medical Research Council; Directorate for Biological Sciences; Wellcome Trust; Cambridge Trust; European Commission; Lister Institute of Preventive Medicine; Multiple Sclerosis Society; Paul G. Allen Frontiers Group; Paul G. Allen Family Foundation","keywords":"Neuroscience; Homogeneous; Progenitor cell; Biology; Electrophysiology; Oligodendrocyte; Population; Progenitor; Stem cell; Myelin; Central nervous system; Cell biology; Medicine","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":[0.0004575418,0.0003380136,0.0006296854,0.0006905553,0.0002694874,0.0006069943,0.0003747586,0.0004251919,0.0009372651],"category_scores_gemma":[0.0005833338,0.0002436867,0.0001979774,0.000315439,0.0003898394,0.0006072324,0.0007221344,0.0007176043,0.0005461806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954187,"about_ca_system_score_gemma":0.0001817874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570965,"about_ca_topic_score_gemma":0.0005415146,"domain_scores_codex":[0.9996581,0.00002811325,0.00004207399,0.0001182375,0.0001080604,0.00004534542],"domain_scores_gemma":[0.9994351,0.00006637328,0.0002059715,0.0000583102,0.0001111891,0.0001230592],"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":[0.0002676602,0.00003290646,0.005474683,0.00007597989,0.00001898874,0.000435077,0.0003608864,0.00007000763,0.9850466,0.000596578,0.0001550472,0.007465499],"study_design_scores_gemma":[0.00004528069,0.0008455475,0.2452524,0.000107677,0.0001789237,0.008520334,0.000718492,0.001068299,0.7171718,0.003127904,0.02289431,0.00006887967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982592,0.005464703,0.008465884,0.0001038507,0.00006519749,0.00002732507,0.0007570582,0.00008425467,0.002439657],"genre_scores_gemma":[0.9872999,0.003493137,0.00465277,0.00013315,0.00007826079,0.00007252865,0.001027853,0.00005727309,0.003185227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009372651,"threshold_uncertainty_score":0.003135443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159969034230587,"score_gpt":0.2171758920412967,"score_spread":0.1955762016989908,"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."}}