{"id":"W4416978156","doi":"10.1002/cssc.202501964","title":"Toward the Bioremediation of Nylon Waste Materials: Genome Mining Leads to the Identification of a Thermostable Laurolactamase From <i>Thermopolyspora flexuosa</i>","year":2025,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Ontario Genomics; Genome Canada","keywords":"Nylon 6; Hydrolase; Polymer; Enzyme; Biodegradation; Substrate (aquarium); Bioremediation; Identification (biology); Characterization (materials science)","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":[0.0002415163,0.00041001,0.000280102,0.0002122754,0.0001011916,0.0005944332,0.0001846644,0.0003728344,0.0003209503],"category_scores_gemma":[0.0002461181,0.0001128642,0.0003841239,0.0003426122,0.0001850944,0.0003394267,0.0002743021,0.0005214849,0.0002959331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584814,"about_ca_system_score_gemma":0.000261515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004954188,"about_ca_topic_score_gemma":0.0005503658,"domain_scores_codex":[0.9998927,0.00001143303,0.000009122197,0.00003966127,0.00002798565,0.00001904394],"domain_scores_gemma":[0.9999125,0.0000146611,0.00003026752,0.00001030836,0.00001662335,0.00001567496],"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":[0.00004480285,0.00002519524,0.001029983,0.00008533206,0.000007529404,0.00009352394,0.00003425,0.0001908261,0.9882641,0.00009455384,0.00004966167,0.01008022],"study_design_scores_gemma":[0.000008472288,0.000297995,0.0104415,0.00004569265,0.00004377664,0.0008371802,0.0001200715,0.00273327,0.9770541,0.0002555755,0.008144899,0.00001747323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728659,0.005494642,0.01826457,0.0005309436,0.0000368719,0.0000495447,0.000965554,0.0002688488,0.00152321],"genre_scores_gemma":[0.9658353,0.004905334,0.02543471,0.0001339253,0.00001845988,0.00003152585,0.00191355,0.00005550875,0.001671721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005944332,"threshold_uncertainty_score":0.001875401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074425657213139,"score_gpt":0.21124305182231,"score_spread":0.2004987952501786,"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."}}