{"id":"W2606663123","doi":"10.1016/j.cell.2017.03.040","title":"Host-Microbe Co-metabolism Dictates Cancer Drug Efficacy in C. elegans","year":2017,"lang":"en","type":"article","venue":"Cell","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Great Ormond Street Hospital Charity; Royal Society; Medical Research Council Canada; Wellcome Trust","keywords":"Biology; Drug; Drug metabolism; Caenorhabditis elegans; Cancer; Metabolism; Host (biology); Cancer drugs; Mechanism (biology); Computational biology; Pharmacology; Genetics; Gene; Biochemistry","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":[0.00009946314,0.0003158049,0.0002336167,0.000298464,0.0002106568,0.0003955729,0.0001942167,0.0003131772,0.001161939],"category_scores_gemma":[0.000190557,0.0001902658,0.0001865809,0.00009883687,0.0002199781,0.0002488265,0.000328952,0.0003427317,0.0002024861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005833463,"about_ca_system_score_gemma":0.0004584147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522446,"about_ca_topic_score_gemma":0.007748351,"domain_scores_codex":[0.9998823,0.0000142334,0.00001030219,0.00003158552,0.00003491758,0.0000266094],"domain_scores_gemma":[0.9998326,0.00003567505,0.0000513491,0.000012508,0.00001829689,0.00004938882],"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":[0.0001526971,0.00003795006,0.001825622,0.00004886267,0.000007474221,0.00007662702,0.0000118449,0.0002897583,0.994774,0.0001875471,0.00006372329,0.002523799],"study_design_scores_gemma":[0.00002916695,0.0005646285,0.07913616,0.00003864296,0.00006632423,0.0003595312,0.0001074904,0.01353083,0.9024571,0.0004426267,0.003218233,0.00004914726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956436,0.000749977,0.001175764,0.00009782975,0.00001270397,0.00001089827,0.0004426865,0.00005839003,0.001808114],"genre_scores_gemma":[0.9970737,0.0003366259,0.001184442,0.00002180455,0.000001349105,0.00001058685,0.0001525554,0.00001446763,0.001204598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002522446,"threshold_uncertainty_score":0.005015552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975873424196748,"score_gpt":0.2862127462880072,"score_spread":0.2664540120460397,"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."}}