{"id":"W2343480194","doi":"10.1016/j.ygcen.2016.03.023","title":"Neuroprotection by GH against excitotoxic-induced cell death in retinal ganglion cells","year":2016,"lang":"en","type":"article","venue":"General and Comparative Endocrinology","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Biology; Neuroprotection; Excitotoxicity; Apoptosis; Programmed cell death; Internal medicine; Endocrinology; Cell biology; Retinal ganglion cell; TUNEL assay; Retinal; Molecular biology; Pharmacology; Biochemistry; 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":[0.00005070178,0.0002046272,0.0002030201,0.00005610829,0.00007896094,0.00001449379,0.0001361773,0.0001205962,0.00001549196],"category_scores_gemma":[0.00001014839,0.0001512641,0.00004338272,0.00007363722,0.00009578453,0.000007713067,0.00009957267,0.0001278084,0.00001607661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131016,"about_ca_system_score_gemma":0.0000359349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670248,"about_ca_topic_score_gemma":0.00001357217,"domain_scores_codex":[0.9986818,0.0001694733,0.0002127079,0.0004897172,0.00007791594,0.0003683984],"domain_scores_gemma":[0.9996074,0.00001464681,0.00008206364,0.0001796521,0.00004893772,0.00006733085],"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":[0.0001150466,0.00005186516,0.001739893,0.000009745733,0.000009065311,0.0000170133,0.0000340948,0.0000105968,0.9949024,0.0001505363,0.001079974,0.001879718],"study_design_scores_gemma":[0.001007316,0.0005295546,0.001347029,0.000009045014,0.000004509423,0.00003323258,0.0000435318,0.00003946391,0.9827327,0.00013363,0.01390596,0.0002140765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942467,0.0007194862,0.001088033,0.0001312731,0.0002095285,0.0001800571,0.000009284841,0.00001618747,0.003399436],"genre_scores_gemma":[0.9962993,0.0007868162,0.0001914292,0.0001798338,0.0002296307,0.00005908616,0.00002418366,0.00001174599,0.002218005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282598,"threshold_uncertainty_score":0.6168373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068506094647589,"score_gpt":0.2503020415534443,"score_spread":0.2296169806069684,"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."}}