{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002689292,0.00159015,0.002438038,0.00228628,0.001157904,0.003960259,0.002290037,0.002580487,0.007372498],"category_scores_gemma":[0.003444182,0.001246048,0.001740401,0.001448933,0.001267591,0.003533744,0.006142006,0.003756887,0.007746321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008505803,"about_ca_system_score_gemma":0.001876452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866165,"about_ca_topic_score_gemma":0.0004454071,"domain_scores_codex":[0.9975447,0.0002812307,0.0001788397,0.0005486956,0.001145938,0.0003006219],"domain_scores_gemma":[0.9975231,0.0003243062,0.0002692115,0.001245429,0.0003787385,0.0002591635],"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":[0.0005297547,0.0003325746,0.0005744727,0.0005086208,0.0001867915,0.0004651663,0.000114902,0.00301301,0.7691178,0.05672798,0.01445507,0.153974],"study_design_scores_gemma":[0.0001162249,0.0005611237,0.000432472,0.0001014505,0.000140343,0.0006080731,0.00005031062,0.01240677,0.8130228,0.03320369,0.1392597,0.00009708397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03616036,0.004018551,0.9176695,0.00267072,0.00175968,0.00134163,0.002515143,0.0125518,0.0213126],"genre_scores_gemma":[0.3063007,0.007882207,0.6225743,0.002034166,0.0007327603,0.00331665,0.006981247,0.001962248,0.04821567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007372498,"threshold_uncertainty_score":0.02466345,"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."}}