{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973086,0.0006380536,0.0005669508,0.00106028,0.0001827837,0.0005898755,0.0002342142,0.0003271486,0.0005890738],"category_scores_gemma":[0.0007495439,0.0001960931,0.0004670166,0.001072436,0.000174,0.0002341941,0.000448537,0.0004130292,0.0004483478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291673,"about_ca_system_score_gemma":0.0002742739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005717063,"about_ca_topic_score_gemma":0.0007372494,"domain_scores_codex":[0.9996582,0.00004311786,0.00003748753,0.00007840167,0.0001126716,0.00007015305],"domain_scores_gemma":[0.9997143,0.00008377296,0.00004999307,0.00003398172,0.00006659862,0.00005139358],"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":[0.0001343629,0.00005454076,0.006879515,0.00005137844,0.00001987315,0.0001114502,0.00004069508,0.0001176697,0.986653,0.00003200041,0.00003385905,0.005871686],"study_design_scores_gemma":[0.00003750586,0.0008563641,0.1696385,0.00003357441,0.0001765153,0.002552289,0.0003794873,0.00266141,0.8191206,0.0002269109,0.004285586,0.00003112237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923199,0.0006906649,0.00384652,0.0001347367,0.00001012397,0.00004405702,0.002093249,0.000115586,0.0007451228],"genre_scores_gemma":[0.9776594,0.001230704,0.0106962,0.0001344207,0.00001803421,0.00007056335,0.008808673,0.00005461165,0.001327372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106028,"threshold_uncertainty_score":0.002101183,"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."}}