{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050321,0.0002092541,0.0003831142,0.0002481395,0.0001187967,0.0002817521,0.0001474275,0.0003872983,0.001165521],"category_scores_gemma":[0.000476351,0.00008552043,0.0001519661,0.0001499763,0.0001448214,0.000159174,0.0001489122,0.0004639844,0.0002037374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162939,"about_ca_system_score_gemma":0.00009550111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891742,"about_ca_topic_score_gemma":0.0002557178,"domain_scores_codex":[0.9998943,0.0000244053,0.000009270143,0.00002209807,0.00002171412,0.00002826804],"domain_scores_gemma":[0.9998573,0.00003361043,0.00003826976,0.00001283707,0.00001783015,0.0000401025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01451812,0.000444907,0.09999209,0.0001087851,0.0001078051,0.001287328,0.0001394387,0.0003450777,0.8338965,0.0002222858,0.0006792119,0.04825853],"study_design_scores_gemma":[0.0004131356,0.01315521,0.4925316,0.00005264475,0.0003082277,0.005894001,0.0007749483,0.004521816,0.4742125,0.0007924309,0.007290962,0.00005256588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979814,0.0006125164,0.0004418813,0.0001539489,0.00002668469,0.00002344071,0.0002194371,0.00002011609,0.000520561],"genre_scores_gemma":[0.9989347,0.000175284,0.0002839611,0.00009439555,0.00001022011,0.00001726194,0.0001770314,0.000003576384,0.0003035121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001165521,"threshold_uncertainty_score":0.003899038,"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."}}