{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460884,0.0006581804,0.0008688337,0.0004195635,0.001277021,0.002068935,0.0006515097,0.008609615,0.01034343],"category_scores_gemma":[0.007309968,0.0002608051,0.0005668184,0.0003279399,0.002219283,0.001806279,0.001077952,0.01706453,0.004530795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140064,"about_ca_system_score_gemma":0.0009646979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006273889,"about_ca_topic_score_gemma":0.001075685,"domain_scores_codex":[0.9992979,0.0002130536,0.00007633321,0.0001160552,0.0001835165,0.0001131036],"domain_scores_gemma":[0.9968902,0.001962764,0.0002103199,0.0001985298,0.0003673586,0.000370825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007714598,0.0001242648,0.001380442,0.0002213674,0.00004842961,0.003651331,0.0001435578,0.0001868625,0.002619567,0.01718216,0.9024086,0.07126208],"study_design_scores_gemma":[0.0004137624,0.0001950616,0.002055997,0.0002525253,0.00004552953,0.001593641,0.0002592952,0.0006385335,0.00243109,0.04480312,0.9472644,0.00004708235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001467812,0.009790723,0.0003622094,0.9417259,0.0420421,0.00001082776,0.00008912628,0.00006545977,0.00444585],"genre_scores_gemma":[0.05206696,0.02608951,0.0009965652,0.6205429,0.2730303,0.0001105995,0.0001717827,0.00008882298,0.02690258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034343,"threshold_uncertainty_score":0.03460222,"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."}}