{"id":"W2964569023","doi":"10.1126/sciadv.aau9433","title":"Efficient apoptosis requires feedback amplification of upstream apoptotic signals by effector caspase-3 or -7","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Empirical Research in Economics, University of Zurich; National Research Council Canada; Canadian Institutes of Health Research; Universität Zürich; Novartis Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Effector; Upstream (networking); Apoptosis; Cell biology; Caspase; Caspase 8; Caspase 3; Computer science; Biology; Telecommunications; Genetics; Programmed cell death","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285502,0.0001085795,0.0001244087,0.00005677745,0.00008730761,0.00002258898,0.000240747,0.00005264337,0.00008545772],"category_scores_gemma":[0.00005995047,0.00007765206,0.0000467826,0.0002764547,0.0002383733,0.00001201264,0.00005406797,0.00002725679,0.00004564416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001688339,"about_ca_system_score_gemma":0.00007179999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009874599,"about_ca_topic_score_gemma":0.000002916119,"domain_scores_codex":[0.9989197,0.00002386646,0.0001841319,0.0003925227,0.0002621554,0.0002175866],"domain_scores_gemma":[0.999351,0.00002325281,0.0001478365,0.0003140706,0.0001010294,0.00006279947],"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":[0.0000482415,0.0000478919,0.0003092273,0.00003501972,0.000003796297,4.015923e-8,0.00002563978,0.005020873,0.9890485,0.00004314243,0.00006530457,0.00535226],"study_design_scores_gemma":[0.0002133718,0.0003737136,0.0004916979,0.00003005931,0.000006856382,0.000001340385,0.0001049174,0.0005316834,0.9958377,0.00003650245,0.00225268,0.0001195024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947206,0.000712398,0.003533532,0.00003720994,0.0002575993,0.0003000082,0.00001787844,0.0000076439,0.000413127],"genre_scores_gemma":[0.9973247,0.00008288462,0.001278066,0.00002775957,0.00003571429,0.00001072742,0.00003276172,0.000008053044,0.00119935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006789111,"threshold_uncertainty_score":0.3166559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007593838994077451,"score_gpt":0.2628216891535907,"score_spread":0.2552278501595132,"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."}}