{"id":"W3136696547","doi":"10.1016/bs.acr.2021.02.002","title":"mTOR as a senescence manipulation target: A forked road","year":2021,"lang":"en","type":"article","venue":"Advances in cancer research","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Institut Du Cancer de Montréal; Terry Fox Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"PI3K/AKT/mTOR pathway; Autophagy; Senescence; Mechanistic target of rapamycin; Biology; Context (archaeology); mTORC2; Cell biology; RPTOR; Cancer research; mTORC1; Signal transduction; Genetics; Apoptosis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005923202,0.0001636544,0.0003294093,0.0002751922,0.0001537095,0.00003944489,0.0001896773,0.0001076801,0.001059203],"category_scores_gemma":[0.0005739345,0.0001543478,0.00006933688,0.001510179,0.0001953122,0.0004144129,0.0001107593,0.0006010397,0.0001255455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528207,"about_ca_system_score_gemma":0.0008747162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120548,"about_ca_topic_score_gemma":0.001525708,"domain_scores_codex":[0.997112,0.0001786726,0.0003348496,0.0006153015,0.001038706,0.0007204461],"domain_scores_gemma":[0.9985588,0.0001643279,0.00005184012,0.0004941431,0.000521051,0.0002098583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001489401,0.0006114667,0.2732938,0.0009615375,0.00005116319,0.00218763,0.001813852,0.0003625599,0.07316507,0.002332306,0.001005057,0.6427262],"study_design_scores_gemma":[0.004706213,0.0006336543,0.1627306,0.002280913,0.00002902921,0.0002770863,0.002947717,0.003390582,0.1469005,0.006931414,0.6684391,0.0007332281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932884,0.08142469,0.0006720412,0.005532763,0.0008450669,0.001102118,0.00002147063,0.0001225764,0.01699085],"genre_scores_gemma":[0.9753071,0.01694813,0.001907607,0.0004012001,0.0003846579,0.0002248826,0.00002972793,0.00003537222,0.004761318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.667434,"threshold_uncertainty_score":0.999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08818198106284784,"score_gpt":0.463085141404584,"score_spread":0.3749031603417362,"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."}}