{"id":"W4387451329","doi":"10.1038/s43018-023-00647-3","title":"Targeting pancreatic cancer metabolic dependencies through glutamine antagonism","year":2023,"lang":"en","type":"article","venue":"Nature Cancer","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; Lustgarten Foundation; Stand Up To Cancer; NYU Langone Medical Center","keywords":"Glutaminase; Glutamine; MAPK/ERK pathway; Pancreatic cancer; Cancer research; Kinase; Pharmacology; Biology; In vivo; Cancer; Chemistry; Internal medicine; Biochemistry; Medicine","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":[0.0001898412,0.0003117872,0.0003747893,0.00007190231,0.0001839538,0.00004151685,0.0003150616,0.0005089032,0.0001785408],"category_scores_gemma":[0.0001309304,0.0002755602,0.000172544,0.0004894067,0.00009530056,0.00001604934,0.000154451,0.0004419102,0.00002910544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786141,"about_ca_system_score_gemma":0.0003121076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005222579,"about_ca_topic_score_gemma":0.0003775239,"domain_scores_codex":[0.9981353,0.00005469036,0.00025942,0.0006129176,0.0003253328,0.0006123236],"domain_scores_gemma":[0.9991717,0.00001934662,0.0001279896,0.0003941997,0.0001777058,0.0001091079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008251148,0.00002161096,0.002242984,0.00006584328,0.0002561958,0.00000509082,0.0002456943,0.0004988004,0.8941009,0.0003356797,0.09268241,0.009462304],"study_design_scores_gemma":[0.0005889699,0.00002212283,0.005066778,0.00002642087,0.0001224068,0.000005860442,0.0001389411,0.00005390276,0.2228303,0.0001106441,0.7707044,0.000329199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6516522,0.3375216,0.0001326709,0.0009562945,0.007905112,0.0003560998,0.000403846,0.0001305507,0.0009417179],"genre_scores_gemma":[0.800222,0.1750743,0.0004016028,0.002931938,0.01264071,0.000439103,0.000411215,0.0001035987,0.007775504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.678022,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114366574440178,"score_gpt":0.2946722973561987,"score_spread":0.2832356399121809,"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."}}