{"id":"W2067287844","doi":"10.1046/j.1460-9568.2000.00098.x","title":"IAP family proteins delay motoneuron cell death in vivo","year":2000,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Université de Genève; Fondation Centre de Recherches Médicales Carlos et Elsie de Reuter; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Axotomy; Biology; Neurotrophic factors; Cell biology; Neuroprotection; Programmed cell death; Apoptosis; Glial cell line-derived neurotrophic factor; In vivo; Ciliary neurotrophic factor; Viral vector; Neuroscience; Regeneration (biology); Gene; Genetics; Recombinant DNA","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001806977,0.0005521181,0.0004177657,0.0002551531,0.000127404,0.0002325764,0.0002470986,0.0002923816,0.001084364],"category_scores_gemma":[0.000144475,0.0001780359,0.0002734048,0.0001110343,0.000198969,0.0002058338,0.0001784851,0.0007627847,0.0005279421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065276,"about_ca_system_score_gemma":0.0003346785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007957875,"about_ca_topic_score_gemma":0.001477014,"domain_scores_codex":[0.9998634,0.00001643686,0.00001332139,0.00003217976,0.00003047713,0.00004414067],"domain_scores_gemma":[0.9998431,0.00002671918,0.00003915661,0.00002239516,0.00001856959,0.00004994199],"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":[0.0002972671,0.0000671042,0.0001067238,0.00003763113,0.000007447949,0.00002953102,0.00002166234,0.0000504924,0.9972245,0.00006041092,0.00005764401,0.002039585],"study_design_scores_gemma":[0.00005116091,0.002644947,0.004028815,0.00001178929,0.00002605096,0.0001811468,0.00003059158,0.0009900196,0.9900452,0.00006164466,0.001924123,0.000004538542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937282,0.002571031,0.001898829,0.00008385988,0.00006819417,0.00004154744,0.0002320844,0.0001427807,0.0012335],"genre_scores_gemma":[0.9862828,0.002231233,0.00242495,0.00007124294,0.00002627942,0.0001037773,0.0006130041,0.0000339667,0.008212651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001084364,"threshold_uncertainty_score":0.003627539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419622374147795,"score_gpt":0.2237272456318739,"score_spread":0.209531021890396,"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."}}