{"id":"W2884367292","doi":"10.1002/glia.23462","title":"Nogo‐A inhibits vascular regeneration in ischemic retinopathy","year":2018,"lang":"en","type":"article","venue":"Glia","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Fonds de Recherche du Québec - Santé; Fondation des Maladies de l'Oeil","keywords":"Biology; Angiogenesis; Retinal; Regeneration (biology); Neuroscience; Downregulation and upregulation; Retina; Neovascularization; Cell biology; Cancer research; Retinopathy; Muller glia; Immunology; Pathology; Progenitor cell; Medicine; Stem cell; Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001957501,0.0001252471,0.0001044664,0.00013601,0.0001319151,0.00006391164,0.0001548585,0.00006263337,0.00019644],"category_scores_gemma":[0.0003018195,0.0001271388,0.00003945055,0.000400785,0.00005646744,0.0002353816,0.0000478978,0.0001274695,0.0009356355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414521,"about_ca_system_score_gemma":0.00003173592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003303344,"about_ca_topic_score_gemma":0.00002588135,"domain_scores_codex":[0.9986274,0.0001579073,0.0002713303,0.000446544,0.0002806867,0.0002160803],"domain_scores_gemma":[0.9994593,0.00003000537,0.00007810547,0.0003211173,0.00004549156,0.00006594266],"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":[0.00001133494,0.00002008312,0.00003774193,0.000003585922,2.616718e-7,0.00001026871,0.0001574649,0.00001685146,0.9928225,0.003815773,0.002355657,0.0007484597],"study_design_scores_gemma":[0.0003816828,0.00006799174,0.0001236814,0.000009646527,0.00000193054,0.00001377326,0.000004064472,0.002809678,0.9836537,0.0003332294,0.01247005,0.0001305742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903598,0.000008935935,0.0009464981,0.0005400759,0.0006889977,0.0002180517,0.000003309918,0.0001361848,0.007098168],"genre_scores_gemma":[0.99599,0.00002755986,0.0003748776,0.00219884,0.0002994857,0.00001992067,0.000004483559,0.00002047526,0.001064336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011439,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256829180833338,"score_gpt":0.2498423282700683,"score_spread":0.2241594101867345,"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."}}