{"id":"W2594096171","doi":"10.1038/srep44103","title":"Activity screening of environmental metagenomic libraries reveals novel carboxylesterase families","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Ontario Genomics; Directorate for Biological Sciences; Ontario Genomics Institute; Biological and Environmental Research; Ministerio de Economía y Competitividad; FP7 Food, Agriculture and Fisheries, Biotechnology; Government of Canada; Genome Canada; University of Chicago; Argonne National Laboratory; European Regional Development Fund; U.S. Department of Energy","keywords":"Metagenomics; Carboxylesterase; Computational biology; Data science; Biology; Bioinformatics; Computer science; Genetics; Enzyme; Biochemistry; Gene","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":[0.0004506511,0.0001014777,0.0001484158,0.00004538656,0.0003627801,0.0001959569,0.0001788452,0.00006272117,0.00001868012],"category_scores_gemma":[0.0001386333,0.00009399648,0.0001036248,0.00003126212,0.0003970525,0.0000332905,0.0002344589,0.00003364659,0.000001270572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006144582,"about_ca_system_score_gemma":0.00004122013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001995868,"about_ca_topic_score_gemma":0.00001449986,"domain_scores_codex":[0.9989745,0.00001810486,0.0002415622,0.0004659534,0.000165371,0.0001345117],"domain_scores_gemma":[0.9982228,0.000004224511,0.0004684714,0.001230782,0.00002503286,0.00004865859],"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":[0.000009844712,0.00005027467,0.02030169,0.000009660911,0.0000303066,0.000004627278,0.00003813625,0.00003614967,0.9778937,0.000008329209,0.0003402048,0.001277097],"study_design_scores_gemma":[0.00009474199,0.00002357909,0.05075438,0.000009734192,0.00002431279,0.00001284099,0.00005540542,0.00003095117,0.9427927,0.00004819027,0.006050844,0.0001023602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99685,0.0002893385,0.001546138,0.0000146125,0.0006637501,0.0001193141,0.00002281562,0.00000467346,0.0004893541],"genre_scores_gemma":[0.9963829,0.00001877447,0.0007629566,0.000008290715,0.00005043798,0.00000655288,0.0001804575,0.0000111625,0.002578463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03510102,"threshold_uncertainty_score":0.3833065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168402267752199,"score_gpt":0.2398104768947036,"score_spread":0.2229702501194837,"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."}}