{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181829,0.00009151608,0.0002474279,0.0006960675,0.0003068332,0.0005257555,0.0001114685,0.0001762966,0.001358849],"category_scores_gemma":[0.0001753975,0.0001156466,0.0001652204,0.001032806,0.000127005,0.0002346926,0.0001908201,0.0001790604,0.0002214875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183395,"about_ca_system_score_gemma":0.0001612646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085171,"about_ca_topic_score_gemma":0.002271467,"domain_scores_codex":[0.9998498,0.00003070324,0.00001288445,0.00003657763,0.00003854951,0.00003149348],"domain_scores_gemma":[0.9998901,0.00003237143,0.00001547143,0.00001195673,0.00002783429,0.00002217235],"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":[0.001159355,0.00001971843,0.0144733,0.00005827249,0.00003690217,0.0001858472,0.0002015816,0.0003077785,0.977438,0.00052689,0.0001019338,0.005490323],"study_design_scores_gemma":[0.00005262638,0.0008328104,0.5495001,0.00001943907,0.0001324129,0.003190197,0.00103482,0.003364919,0.4314027,0.001725189,0.008699575,0.00004532132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951026,0.001794352,0.0005489237,0.00008851005,0.000005612956,0.000005585349,0.001110717,0.00001331213,0.001330216],"genre_scores_gemma":[0.9968979,0.0007021982,0.0002849558,0.00002943324,0.000005587881,0.000008005857,0.001302073,0.00000602435,0.0007637316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085171,"threshold_uncertainty_score":0.004545748,"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."}}