{"id":"W2895417149","doi":"10.1021/acs.est.8b04252","title":"Screening and Characterization of Novel Polyesterases from Environmental Metagenomes with High Hydrolytic Activity against Synthetic Polyesters","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; European Regional Development Fund; Biotechnology and Biological Sciences Research Council; H2020 Environment; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; National Institute of General Medical Sciences; Ontario Genomics Institute; Genome Canada","keywords":"Polyester; Depolymerization; Hydrolysis; Polylactic acid; Polycaprolactone; Hydrolase; Chemistry; Serine hydrolase; Lactic acid; Organic chemistry; Enzyme; Polymer; Bacteria; Biology","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":[0.000434366,0.0006403862,0.0005325947,0.0007535309,0.0001745135,0.0007565132,0.0002886458,0.0004132009,0.0003276808],"category_scores_gemma":[0.0006833826,0.0001866725,0.0005654592,0.00092525,0.0001846458,0.0004047897,0.0005675491,0.0003713642,0.0003041357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736398,"about_ca_system_score_gemma":0.00031941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005252,"about_ca_topic_score_gemma":0.001189495,"domain_scores_codex":[0.9996557,0.00004598185,0.00005704564,0.0000839748,0.0001004491,0.00005680221],"domain_scores_gemma":[0.9997315,0.00005793521,0.00006675173,0.00003038367,0.00006000616,0.00005338077],"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":[0.00005349291,0.00005444054,0.004646237,0.0001161367,0.000019274,0.0001228063,0.0000516495,0.0001540165,0.9909763,0.00002714689,0.00002866698,0.00374996],"study_design_scores_gemma":[0.00003441722,0.0005861921,0.1601557,0.00005139186,0.0002092829,0.002077794,0.0008185327,0.003271641,0.8265134,0.0001918817,0.00604669,0.0000430498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907157,0.001081898,0.004458456,0.0001423313,0.0000171005,0.00007982076,0.002761356,0.00006923456,0.0006740696],"genre_scores_gemma":[0.9693933,0.001555828,0.017387,0.0001532511,0.00002226404,0.0001339122,0.01020009,0.00005589152,0.00109837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001005252,"threshold_uncertainty_score":0.002297163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009754847194465018,"score_gpt":0.1846047085396194,"score_spread":0.1748498613451544,"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."}}