{"id":"W2565125422","doi":"10.1016/j.chembiol.2016.11.011","title":"A Common Platform for Antibiotic Dereplication and Adjuvant Discovery","year":2016,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Antibiotics; Antibiotic resistance; Identification (biology); Computational biology; Adjuvant; Drug discovery; Biology; Antimicrobial; Bioinformatics; Microbiology; Immunology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007767814,0.0001322168,0.0001723863,0.00001546971,0.00003484248,0.00001266623,0.0001412909,0.0002356943,0.000006208658],"category_scores_gemma":[0.00008568486,0.00008826351,0.00005626101,0.00002304951,0.0002373504,0.000005884249,0.0001030377,0.00003334462,0.000004351908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001450676,"about_ca_system_score_gemma":0.00002250108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002436818,"about_ca_topic_score_gemma":0.000003030855,"domain_scores_codex":[0.999127,0.00001389179,0.0001839105,0.0004086381,0.00002582988,0.0002407266],"domain_scores_gemma":[0.999462,0.00006630817,0.00008077779,0.0002996301,0.00003097094,0.00006030977],"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":[0.0001446862,0.00003108163,0.02158993,0.00002376489,0.00001217726,2.22685e-7,0.000003176573,1.556612e-8,0.9718509,0.0006269958,0.0005020222,0.00521502],"study_design_scores_gemma":[0.0006573965,0.0001662712,0.003147189,0.00001615388,0.00001300855,0.000008199517,0.000008454759,0.000003773635,0.9861195,0.001240131,0.008459626,0.000160292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925743,0.000448014,0.005944599,0.0002176272,0.00008027711,0.0002076829,0.00005010971,0.00001226748,0.0004651676],"genre_scores_gemma":[0.9977844,0.000252859,0.001124391,0.0001582836,0.0001519234,0.000008636923,0.0001549819,0.00001691327,0.0003475928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844274,"threshold_uncertainty_score":0.3599282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068496322122883,"score_gpt":0.2519115144372876,"score_spread":0.2412265512160588,"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."}}