{"id":"W2733060293","doi":"10.1016/j.celrep.2017.06.009","title":"Exosomes Mediate Mobilization of Autocrine Wnt10b to Promote Axonal Regeneration in the Injured CNS","year":2017,"lang":"en","type":"article","venue":"Cell Reports","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Krembil Foundation; University Health Network; University of Toronto; Canada Research Chairs","funders":"Canadian Institutes of Health Research; Krembil Foundation; Heart and Stroke Foundation of Canada","keywords":"Microvesicles; Regeneration (biology); PI3K/AKT/mTOR pathway; Neurite; Cell biology; Biology; Myelin; Axon; Ectodomain; Exosome; Paracrine signalling; Autocrine signalling; Signal transduction; Neuroscience; Cancer research; microRNA; Central nervous system; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264548,0.0001026537,0.0001282986,0.0000810164,0.0002625489,0.00009332109,0.0002199869,0.00005402667,0.00002245117],"category_scores_gemma":[0.0006903656,0.00007201717,0.00004198697,0.0001354769,0.00007138942,0.0002694468,0.00005985039,0.00008423394,0.000005924642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082982,"about_ca_system_score_gemma":0.00006544928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000267411,"about_ca_topic_score_gemma":0.00007990353,"domain_scores_codex":[0.9986444,0.0001081907,0.0004206996,0.0003336518,0.0003446525,0.0001484288],"domain_scores_gemma":[0.9987512,0.00003197387,0.0004301317,0.0006854372,0.00005879435,0.00004252055],"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":[0.0000138341,0.00009671353,0.001716619,0.00001792322,6.644588e-7,0.0001033495,0.0004271404,0.0006378963,0.993719,0.0004273029,0.000482574,0.002357011],"study_design_scores_gemma":[0.0001061716,0.00008761205,0.01019407,0.00001797118,0.000005556962,0.00004351409,0.00001141731,0.0006715197,0.9858581,0.0008942885,0.002023926,0.00008577679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951534,0.00001862755,0.0003037449,0.001133761,0.000597598,0.0005977881,0.000003622501,0.00002011235,0.002171339],"genre_scores_gemma":[0.9979872,0.00001839615,0.0001992427,0.0001752218,0.000158145,0.0000665685,0.00001382999,0.00001011252,0.001371294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008477455,"threshold_uncertainty_score":0.2936775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658928433497865,"score_gpt":0.2963898501495348,"score_spread":0.2598005658145562,"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."}}