{"id":"W2975852908","doi":"10.1016/j.molcel.2019.08.028","title":"Metabolic Diversity in Human Non-Small Cell Lung Cancer Cells","year":2019,"lang":"en","type":"article","venue":"Molecular Cell","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":231,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Genentech; Sierra Oncology; Bayer Fund; Howard Hughes Medical Institute; Cancer Prevention and Research Institute of Texas; Exelixis; GlaxoSmithKline; Takeda Pharmaceuticals U.S.A.; Spectrum Pharmaceuticals; Pfizer; Welch Foundation; AstraZeneca; American Association for Cancer Research; Boehringer Ingelheim","keywords":"Biology; Signal transduction; Cell; Cancer cell; Cell culture; Reprogramming; Lung cancer; Gene; Gene expression; Metabolic pathway; Cell biology; Computational biology; Cancer; Cell metabolism; Cell type; Cancer research; Genetics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001598775,0.0002828615,0.0003245529,0.0001039446,0.00009539901,0.00002764674,0.0004247855,0.000230412,0.0001787209],"category_scores_gemma":[0.000002874019,0.0003100245,0.0002202727,0.0001707016,0.00003974551,0.000005741816,0.0005414463,0.0002004757,0.00005751127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002817605,"about_ca_system_score_gemma":0.0001113035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009223026,"about_ca_topic_score_gemma":0.0002040776,"domain_scores_codex":[0.9983706,0.00007328059,0.00022927,0.0006301666,0.0001971945,0.0004994409],"domain_scores_gemma":[0.9990781,0.000004121226,0.000106875,0.0006041186,0.00006379617,0.0001430121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000025224,0.000110987,0.009324758,0.00008314453,0.00002909921,0.000008377498,0.000160031,0.0006935105,0.9872742,0.00001819537,0.001997176,0.0002752831],"study_design_scores_gemma":[0.001581237,0.00005107889,0.003125006,0.0000122859,0.00007664607,7.031805e-7,0.00004489398,0.00007290112,0.8961589,0.00001177072,0.09849016,0.0003743582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707105,0.01326484,0.0004685969,0.00002105729,0.001093801,0.0005030264,0.00002802082,0.00001346456,0.01389667],"genre_scores_gemma":[0.990407,0.001344633,0.000260525,0.0005869115,0.000365974,0.0000328915,0.00006050565,0.00004966727,0.006891835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09649299,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006149663453332328,"score_gpt":0.2215031145642125,"score_spread":0.2153534511108802,"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."}}