{"id":"W2089744682","doi":"10.1038/cdd.2009.52","title":"Angiogenin protects motoneurons against hypoxic injury","year":2009,"lang":"en","type":"article","venue":"Cell Death and Differentiation","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Medical Research Council; National Science Council; Enterprise Ireland; Menzies Centre for Australian Studies, King's College London, University of London; University of Toronto; National Institutes of Health; Science Foundation Ireland; National University of Singapore","keywords":"Angiogenin; Neuroprotection; Hypoxia (environmental); Amyotrophic lateral sclerosis; Gene silencing; Biology; Transgene; Cell biology; Gene; Cancer research; Endocrinology; Internal medicine; Chemistry; Neuroscience; Angiogenesis; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002202025,0.0003808251,0.0003664208,0.0002979207,0.0003894932,0.0003125708,0.0002742177,0.0003975446,0.002040012],"category_scores_gemma":[0.0001621387,0.0001765979,0.0002560567,0.0001339812,0.0003386802,0.000337961,0.000247543,0.0006341886,0.0003177946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803336,"about_ca_system_score_gemma":0.000438165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009329746,"about_ca_topic_score_gemma":0.002508311,"domain_scores_codex":[0.9998966,0.00001500286,0.000006815214,0.00001694155,0.00001643642,0.00004815997],"domain_scores_gemma":[0.9998891,0.00001587807,0.00001808783,0.00001477567,0.00001025861,0.00005179643],"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":[0.00145501,0.00008539236,0.0003075126,0.00005706283,0.0000227628,0.0001476337,0.00004604613,0.00006065033,0.9953986,0.0001225747,0.0001086335,0.002188075],"study_design_scores_gemma":[0.0002837151,0.003181432,0.02203531,0.00002922869,0.00008331071,0.0005307131,0.0001804755,0.0005807944,0.9697838,0.0001621989,0.003137654,0.0000112706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969954,0.001101584,0.0004445029,0.00008482864,0.00004758991,0.00002313672,0.000124681,0.00003754425,0.001140687],"genre_scores_gemma":[0.9936703,0.000891148,0.0006174786,0.00005656629,0.00003437656,0.00004142166,0.0003095304,0.0000117555,0.00436735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002040012,"threshold_uncertainty_score":0.006824493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903341273754032,"score_gpt":0.2607768499264153,"score_spread":0.2417434371888749,"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."}}