{"id":"W4403499187","doi":"10.1016/j.celrep.2024.114873","title":"Heterogeneity in oligodendrocyte precursor cell proliferation is dynamic and driven by passive bioelectrical properties","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Horizon 2020; Medical Research Council; European Research Council; Fonds de Recherche du Québec - Santé; Wellcome Trust; Cambridge Trust; European Commission; University College London; Horizon 2020 Framework Programme; University of Cambridge; Gates Cambridge Trust; UK Research and Innovation; Lister Institute of Preventive Medicine; Multiple Sclerosis Society; Newton Fund; Univerzita Karlova v Praze","keywords":"Cell growth; Cell biology; Oligodendrocyte; Chemistry; Cell; Stem cell; Neuroscience; Biology; Computational biology; Biochemistry; Myelin; Central nervous system","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":[0.0001408435,0.0001063446,0.0002259183,0.0003896527,0.00018987,0.0005717719,0.000185961,0.0002057355,0.0004085129],"category_scores_gemma":[0.0003822859,0.0001327178,0.0001381649,0.000242374,0.000269265,0.0004905201,0.0003238042,0.000271189,0.0001517761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939219,"about_ca_system_score_gemma":0.0001650761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004853235,"about_ca_topic_score_gemma":0.0007350519,"domain_scores_codex":[0.9998543,0.00001245986,0.0000132518,0.0000473138,0.00004113325,0.00003153074],"domain_scores_gemma":[0.9997776,0.00005058254,0.00006741113,0.00002363162,0.00004424216,0.00003652557],"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":[0.0001044325,0.00001157842,0.006942538,0.00004788446,0.000009221741,0.0001740997,0.0001366386,0.0001387134,0.9867653,0.0004130023,0.00005482995,0.005201865],"study_design_scores_gemma":[0.00002056322,0.0003020476,0.339563,0.0000383764,0.0001051618,0.002894243,0.0006451971,0.004096408,0.6425086,0.002951418,0.00681565,0.00005932498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937819,0.001474891,0.00341704,0.00003635211,0.000008057868,0.000008642095,0.0001671913,0.00004603602,0.001059926],"genre_scores_gemma":[0.9982129,0.0005160706,0.0006982658,0.0000176367,0.000007270304,0.00001252115,0.0001340514,0.00001034346,0.0003909783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005717719,"threshold_uncertainty_score":0.001407027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579504168884877,"score_gpt":0.2396342979741163,"score_spread":0.2238392562852676,"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."}}