{"id":"W2156476088","doi":"10.7554/elife.03641","title":"Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer","year":2014,"lang":"en","type":"article","venue":"eLife","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Planning and Budgeting Committee of the Council for Higher Education of Israel; Israel Cancer Research Fund; Israel Science Foundation; Azrieli Foundation; Israeli Centers for Research Excellence; Medical Research Council","keywords":"Phenotype; Computational biology; Cancer cell; Cancer; Biology; Cell; Metabolic pathway; Cell metabolism; Bioinformatics; Enzyme; Genetics; Biochemistry; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.000355729,0.0001690019,0.0002804985,0.00006369712,0.00004534874,0.00001179572,0.0001571378,0.0001097413,0.00002876027],"category_scores_gemma":[0.00007652209,0.0001531939,0.0001183698,0.0001259959,0.00004531076,0.000003660737,0.00003467285,0.00008044683,0.000007863034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004470941,"about_ca_system_score_gemma":0.00004285762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018651,"about_ca_topic_score_gemma":0.000006695336,"domain_scores_codex":[0.9989504,0.00006540184,0.0002859964,0.0003279696,0.0001479135,0.0002223171],"domain_scores_gemma":[0.9992341,0.000004773284,0.00008716121,0.0004396806,0.0001707797,0.00006352367],"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":[0.00002724525,0.00003927939,0.0002496308,0.00004588202,0.00002524755,3.709793e-8,0.00003274787,0.02994499,0.9664093,0.0003774252,0.001059662,0.001788567],"study_design_scores_gemma":[0.0002848795,0.000032273,0.0003217316,0.00001295546,0.00003472777,3.695735e-7,0.00001384338,0.002068225,0.7987021,0.00001836176,0.1983488,0.0001616954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951919,0.03187928,0.0150955,0.00008437398,0.0005348245,0.0001253187,0.00002433533,0.00002804455,0.0003093719],"genre_scores_gemma":[0.9929126,0.002155167,0.002941335,0.0001450644,0.001170432,0.00002470094,0.0000347853,0.00003058764,0.0005853598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972892,"threshold_uncertainty_score":0.6247066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902163847193219,"score_gpt":0.2251123847937369,"score_spread":0.2160907463218047,"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."}}