{"id":"W3164842107","doi":"10.1126/sciadv.abf0971","title":"Adaptation to mitochondrial stress requires CHOP-directed tuning of ISR","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Vetenskapsrådet; National Institutes of Health; Deutsche Forschungsgemeinschaft; Marcus och Amalia Wallenbergs minnesfond; Cancerfonden","keywords":"Adaptation (eye); CHOP; Stress (linguistics); Biology; Computational biology; Mitochondrion; Computer science; Cell biology; Neuroscience; Endoplasmic reticulum","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002334179,0.0001968272,0.0003061765,0.0001451912,0.0001252983,0.0003614518,0.0001899632,0.0001909965,0.001009569],"category_scores_gemma":[0.0001929218,0.00008712889,0.0001882627,0.0001083948,0.0003207426,0.0002694149,0.0004299423,0.000451852,0.0004147678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056404,"about_ca_system_score_gemma":0.0001177268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008876549,"about_ca_topic_score_gemma":0.000115239,"domain_scores_codex":[0.9998055,0.00003336266,0.0000175887,0.0000536048,0.00003251692,0.00005735614],"domain_scores_gemma":[0.9998083,0.00002259225,0.00004964252,0.00003899177,0.00002427505,0.00005615715],"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":[0.00009210874,0.00001241431,0.0002504453,0.00001448433,0.000002463169,0.000039445,0.000009541203,0.0000460819,0.99832,0.0000961849,0.00002271847,0.001094071],"study_design_scores_gemma":[0.00002105493,0.0003087424,0.01922302,0.00000964285,0.00001179085,0.0006606937,0.00007216175,0.001270767,0.9748024,0.0003590381,0.003251483,0.000009337377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874662,0.001431953,0.008533671,0.0002105379,0.00005795045,0.00002237682,0.000186095,0.0001432808,0.001948091],"genre_scores_gemma":[0.9969389,0.0003291864,0.00162919,0.00009532444,0.00001621659,0.00001350003,0.0001622919,0.00002464574,0.0007907631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001009569,"threshold_uncertainty_score":0.003377378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009976763182867087,"score_gpt":0.2833823542097824,"score_spread":0.2734055910269153,"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."}}