{"id":"W2074869689","doi":"10.1038/nchembio.1797","title":"Mode of action and pharmacogenomic biomarkers for exceptional responders to didemnin B","year":2015,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Depsipeptide; Natural product; Biomarker; Mode of action; Pharmacogenomics; Pharmacology; Computational biology; Medicine; Chemistry; Biology; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001477308,0.00008927851,0.0001993543,0.00007671301,0.00001294048,0.00000201012,0.00005196575,0.0003479729,0.00002325233],"category_scores_gemma":[0.0006113305,0.00006391427,0.00005074785,0.00009483958,0.00009028078,0.000017758,0.00003284748,0.0001845048,0.000002870457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000532895,"about_ca_system_score_gemma":0.00004814729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007221754,"about_ca_topic_score_gemma":9.068281e-7,"domain_scores_codex":[0.999407,0.00001885068,0.0001417808,0.0002450827,0.0000491224,0.0001381859],"domain_scores_gemma":[0.9995187,0.00009350259,0.00004363509,0.0000806965,0.0001268965,0.0001365966],"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":[0.002997262,0.0000283762,0.0002106703,0.00003306352,0.00005653664,3.596876e-7,0.00002567778,1.304112e-7,0.9656948,0.00009876135,0.02257803,0.008276273],"study_design_scores_gemma":[0.0009384569,0.0001471289,0.000116908,0.00001226832,0.00004524741,0.00002228893,0.00002070168,0.00002443013,0.9462451,0.0004403063,0.05191277,0.00007441144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991078,0.0007374767,0.0000536132,0.007450429,0.0001977317,0.0003018228,0.00008995835,0.00001601842,0.0000749072],"genre_scores_gemma":[0.9944252,0.00003520483,0.00383055,0.001214723,0.0002891697,0.000002374883,0.0001095229,0.000007606376,0.00008569266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02933474,"threshold_uncertainty_score":0.2683886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114212325927734,"score_gpt":0.3677534426903173,"score_spread":0.32661131943104,"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."}}