{"id":"W2890895237","doi":"10.1016/j.tibs.2018.08.010","title":"Translation Links Nutrient Availability with Inflammation","year":2018,"lang":"en","type":"letter","venue":"Trends in Biochemical Sciences","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Terry Fox Research Institute; Canada Research Chairs; Canadian Cancer Society; Fonds de Recherche du Québec - Santé; Cole Foundation; Terry Fox Foundation; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Inflammation; Translation (biology); Nutrient; Computational biology; Chemistry; Biology; Computer science; Biochemistry; Ecology; Immunology; Gene","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":[0.0003798214,0.0002714683,0.0002522464,0.000172475,0.0000848727,0.00005423486,0.0004092256,0.00110012,0.0001221035],"category_scores_gemma":[0.00003917037,0.0002088885,0.000101986,0.0005272298,0.0008708364,0.000008988851,0.00005571048,0.0005858164,0.00001000693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003373089,"about_ca_system_score_gemma":0.0001259688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000483714,"about_ca_topic_score_gemma":0.00008864512,"domain_scores_codex":[0.9979299,0.00007279803,0.0003303001,0.0008255447,0.0004304899,0.000410986],"domain_scores_gemma":[0.9993393,0.00002103395,0.0001517221,0.0003556783,0.00007330023,0.00005894192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001166258,0.00004875282,0.0004316566,0.00005855382,0.00002457639,0.000002192597,0.0001074734,0.000006870569,0.1618905,0.000009681902,0.8039997,0.03330341],"study_design_scores_gemma":[0.0003940323,0.000221067,0.0003739312,0.00003993998,0.00002239636,0.000006578487,0.000007826684,0.00002879059,0.1330025,0.00009983702,0.865494,0.0003090988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702721,0.00624871,0.0004554564,0.2041018,0.00242782,0.0006292739,0.0001546581,0.00007747991,0.0156327],"genre_scores_gemma":[0.5953754,0.003556034,0.01827688,0.2142796,0.1437522,0.0006714518,0.01097711,0.0002546174,0.0128567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748967,"threshold_uncertainty_score":0.8518227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240579488825008,"score_gpt":0.280462311888909,"score_spread":0.2564043630064082,"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."}}