{"id":"W2998705129","doi":"10.1016/j.trecan.2019.11.009","title":"Metabolic Fitness and Plasticity in Cancer Progression","year":2020,"lang":"en","type":"review","venue":"Trends in cancer","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Terry Fox Research Institute; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec","keywords":"Cancer cell; AMPK; Tumor microenvironment; Biology; Cancer; Cancer research; PI3K/AKT/mTOR pathway; Tumor progression; Hypoxia (environmental); Mechanistic target of rapamycin; Tumor hypoxia; Bioinformatics; Medicine; Protein kinase A; Kinase; Cell biology; Internal medicine; Signal transduction; Chemistry; Radiation therapy; Tumor cells","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009447224,0.0004681895,0.001370891,0.000182873,0.0000335918,0.00002626972,0.0002559701,0.0004567307,0.0001558391],"category_scores_gemma":[0.00002745957,0.0003903092,0.0002011787,0.0005782344,0.0001030513,0.000005820119,0.0002077002,0.0004077764,0.000002410874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007606202,"about_ca_system_score_gemma":0.000384426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007154605,"about_ca_topic_score_gemma":0.005818211,"domain_scores_codex":[0.9980094,0.0001197797,0.0004804019,0.0008059699,0.0001734401,0.0004109882],"domain_scores_gemma":[0.9993498,0.00001757412,0.000223537,0.0002428107,0.00002848699,0.0001377503],"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":[0.00003673144,0.00004256251,0.0001230134,0.00139809,0.00007231843,0.000004398661,0.00005902526,0.00000888754,0.00008713461,0.00001076398,0.001523601,0.9966335],"study_design_scores_gemma":[0.000633799,0.00003717727,0.000473333,0.002361202,0.0002669414,0.000007367787,0.000006058452,0.000008491101,0.0001813583,0.000003408513,0.9955918,0.0004291111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006323644,0.9971221,0.00000415059,0.00006258943,0.001286519,0.0002854084,0.0003277161,0.00001202055,0.0002671144],"genre_scores_gemma":[0.0003177226,0.9954083,0.00005875287,0.0000871851,0.002359631,0.0009814759,0.0001449568,0.0000667679,0.0005752409],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962044,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014580205412614,"score_gpt":0.3941794248408389,"score_spread":0.3440336227867128,"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."}}