{"id":"W2053278893","doi":"10.1038/cdd.2008.127","title":"NRAGE, a p75NTR adaptor protein, is required for developmental apoptosis in vivo","year":2008,"lang":"en","type":"article","venue":"Cell Death and Differentiation","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; Fonds De La Recherche Scientifique - FNRS; Canadian Institutes of Health Research; Association pour la Recherche sur le Cancer","keywords":"Knockout mouse; Apoptosis; Neurotrophin; Receptor; Low-affinity nerve growth factor receptor; Neuroscience; Neurotrophic factors; Cell biology; Cancer research; Internal medicine; Chemistry; Biology; 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":[0.00004879317,0.0001147498,0.000110004,0.00008715939,0.0002413794,0.00003375735,0.00005843684,0.00007100584,0.00003874011],"category_scores_gemma":[0.00004781253,0.0001013043,0.00003588905,0.000102216,0.00002711,0.0002031491,0.00002147067,0.00004716963,0.000005816909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688093,"about_ca_system_score_gemma":0.00003402944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009685912,"about_ca_topic_score_gemma":0.00000546682,"domain_scores_codex":[0.9991536,0.00004164985,0.0001959076,0.0003003527,0.0001284428,0.0001801219],"domain_scores_gemma":[0.9997436,0.00003454834,0.00007085235,0.00007186974,0.00002105743,0.00005802518],"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":[0.00006925048,0.00009426591,0.001470656,0.00003236238,0.000001179998,0.000001026547,0.0003469702,0.000001324004,0.996609,0.0005321106,0.0003846879,0.0004572198],"study_design_scores_gemma":[0.0008136315,0.00007126308,0.002938053,0.00001466538,0.000005238744,0.000003715962,0.00001708514,0.001559703,0.9936619,0.0003399864,0.0004416555,0.0001330504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959518,0.00002962328,0.002557998,0.00008925196,0.0001166737,0.0005843485,0.000029083,0.00002999277,0.0006112214],"genre_scores_gemma":[0.9959828,0.00005141433,0.0008267874,0.0001882343,0.00005966027,0.0001444109,0.0000171807,0.00001081934,0.002718702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002946995,"threshold_uncertainty_score":0.413107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432063207967671,"score_gpt":0.2431044404954681,"score_spread":0.199898119698701,"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."}}