{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001202276,0.0004197301,0.0003038855,0.0002116447,0.0001213149,0.0003762759,0.0002822285,0.0003348808,0.000409306],"category_scores_gemma":[0.0003593947,0.000170511,0.0004481784,0.0002203558,0.0001648449,0.0002662709,0.0002085251,0.0002596489,0.000107548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389648,"about_ca_system_score_gemma":0.0004366881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038195,"about_ca_topic_score_gemma":0.003895117,"domain_scores_codex":[0.9999707,0.000007971285,0.000001445978,0.00000933683,0.000006400796,0.000004207805],"domain_scores_gemma":[0.9999101,0.00004630648,0.00001447636,0.00001419604,0.000008621879,0.000006355623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002178841,0.00001209206,0.002063842,0.00001564341,0.00001217771,0.0000270874,0.000009900606,0.9836606,0.01141276,0.0007379494,0.00005149735,0.001974682],"study_design_scores_gemma":[0.000002203776,0.00001567566,0.0004175775,7.358362e-7,0.000005235253,0.000009838706,0.000004308682,0.99543,0.003369423,0.0005543744,0.0001879882,0.000002536369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741359,0.0001927497,0.1211346,0.0001288798,0.00001072341,0.00001987892,0.000685631,0.0004062961,0.003285389],"genre_scores_gemma":[0.9837901,0.0001920144,0.01515294,0.00001530492,0.000002036113,0.00002945414,0.0004050542,0.00003531124,0.0003778164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0038195,"threshold_uncertainty_score":0.007594526,"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."}}