{"id":"W4392928534","doi":"10.1038/s41536-024-00356-0","title":"Multichannel bridges and NSC synergize to enhance axon regeneration, myelination, synaptic reconnection, and recovery after SCI","year":2024,"lang":"en","type":"article","venue":"npj Regenerative Medicine","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institutes of Health; School of Medicine, University of California, Irvine; U.S. Food and Drug Administration; University of Pittsburgh","keywords":"Regeneration (biology); Spinal cord injury; Transplantation; Axon; Neuroscience; Spinal cord; Biology; Neural stem cell; Glial scar; Stem cell; Medicine; Cell biology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008286942,0.00036463,0.0003642732,0.0004218915,0.0005230788,0.000205345,0.000116407,0.0001660134,0.0001475594],"category_scores_gemma":[0.00221366,0.0002811271,0.00004473521,0.0006609602,0.0003881598,0.0006201876,0.00007741306,0.0003264709,0.0000546644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121325,"about_ca_system_score_gemma":0.00008662215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005477788,"about_ca_topic_score_gemma":0.000255502,"domain_scores_codex":[0.9970552,0.0004533463,0.0005413362,0.001182997,0.0004302178,0.0003368512],"domain_scores_gemma":[0.9984492,0.0006269323,0.00009526512,0.00030482,0.0002708451,0.0002529506],"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":[0.0001595165,0.00003661746,0.00004081498,0.0001377294,0.00003202381,0.00005798697,0.002672142,0.0005102387,0.9593326,0.007487618,0.007742306,0.02179036],"study_design_scores_gemma":[0.0003351303,0.0009439448,0.000329295,0.0005477262,0.00006754648,0.0001665663,0.0002017467,0.01398341,0.9718681,0.001268505,0.009872319,0.0004156841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114544,0.009067286,0.03432836,0.04092436,0.002783849,0.0007840681,0.00004273641,0.0002293938,0.0003855177],"genre_scores_gemma":[0.9822005,0.001727727,0.0008010393,0.00268158,0.002044571,0.0002748513,0.00002468665,0.00004800937,0.01019705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07074606,"threshold_uncertainty_score":0.9999641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961304703653454,"score_gpt":0.3031613082743557,"score_spread":0.2835482612378212,"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."}}