{"id":"W2896465853","doi":"10.3389/fncel.2018.00356","title":"Factors Within the Endoneurial Microenvironment Act to Suppress Tumorigenesis of MPNST","year":2018,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia; Hotchkiss Brain Institute; Ontario Brain Institute; Institute of Cancer Research; Alberta Children's Hospital; University of Calgary","funders":"Alberta Innovates; Stem Cell Network; University of Calgary","keywords":"Tumor microenvironment; Schwann cell; Malignant peripheral nerve sheath tumor; Nerve growth factor; Cancer research; Neurotrophic factors; Biology; Pathology; Medicine; Cancer; Neurofibromatosis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003674448,0.0002109633,0.0002216778,0.0001804454,0.0003503096,0.00007047583,0.001040677,0.00005259151,0.000014649],"category_scores_gemma":[0.0004202453,0.0001426375,0.00007961677,0.0007462094,0.001002197,0.000225315,0.0002105296,0.0001662664,0.000009952858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005038326,"about_ca_system_score_gemma":0.00005163797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937614,"about_ca_topic_score_gemma":0.000008547207,"domain_scores_codex":[0.9976153,0.0003285564,0.0003999789,0.0007121039,0.0005492551,0.0003947697],"domain_scores_gemma":[0.9990415,0.00007784459,0.0001791476,0.0005654594,0.00001780657,0.000118263],"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":[0.00004672674,0.00007970067,0.006109959,0.000005120312,4.917898e-7,0.00001567699,0.00054178,0.0006285176,0.9916596,0.0001123613,0.0006262799,0.0001737951],"study_design_scores_gemma":[0.0001586714,0.0002494243,0.004393153,0.00001018421,0.000005654003,0.000005025758,0.00007613366,0.001741586,0.9902385,0.00008023771,0.002886598,0.0001547617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848508,0.00002460669,0.006346411,0.0002614559,0.007857897,0.0004456634,0.00002430203,0.00002334356,0.0001655019],"genre_scores_gemma":[0.9982371,0.00001216227,0.0004728388,0.0006094625,0.0001726885,0.00001547032,9.841808e-7,0.00001884673,0.0004604015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01338633,"threshold_uncertainty_score":0.5816586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375752790080076,"score_gpt":0.2456038012497342,"score_spread":0.2118462733489334,"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."}}