{"id":"W2608910459","doi":"10.1016/j.yexcr.2017.04.029","title":"Fire and water: Tumor cell adaptation to metabolic conditions","year":2017,"lang":"en","type":"review","venue":"Experimental Cell Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Biology; Tumor microenvironment; Adaptation (eye); Metabolic adaptation; Hypoxia (environmental); Transcription factor; Exploit; Cell; Cell biology; Bioinformatics; Tumor cells; Neuroscience; Cancer research; Metabolism; Gene; Genetics; Computer science; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000462122,0.0003346252,0.0006782372,0.0001676354,0.0004918473,0.0001720912,0.0004806848,0.0002280351,0.0001535884],"category_scores_gemma":[0.00002872329,0.0002681309,0.000239151,0.00008163426,0.0002000262,0.000008821763,0.0006078649,0.0003311262,0.000277269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112054,"about_ca_system_score_gemma":0.0003028679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002181853,"about_ca_topic_score_gemma":0.00001659433,"domain_scores_codex":[0.997701,0.0002776417,0.000306691,0.0007352132,0.0003816407,0.0005978234],"domain_scores_gemma":[0.9987143,0.00002232532,0.00008620955,0.0007371546,0.0001084237,0.0003316366],"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":[0.00009069595,0.0005310606,0.000001048634,0.003645672,0.000157818,0.00002215071,0.001072945,0.000002043682,0.4413499,0.00006803199,0.04408923,0.5089694],"study_design_scores_gemma":[0.0002603671,0.0001709245,0.00000108711,0.0001844852,0.00004720383,0.00001469959,0.000208019,0.000001237119,0.1731849,0.000003456189,0.8256613,0.0002623705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003131679,0.9905403,0.000004350898,0.00001377294,0.0006063698,0.001095192,0.0001593793,0.00000958324,0.004439379],"genre_scores_gemma":[0.006171085,0.9772661,0.0001285192,0.00003749592,0.001545822,0.0006998525,0.0008260714,0.00007681685,0.01324818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.781572,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1319863591706995,"score_gpt":0.443274763486256,"score_spread":0.3112884043155565,"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."}}