{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005195368,0.0001117851,0.0001481702,0.00002863069,0.00008077588,0.0000282041,0.0003406553,0.00006064407,0.0003864922],"category_scores_gemma":[0.0001574833,0.00007180397,0.00003958634,0.0003188741,0.0001184959,0.0000609387,0.0001375627,0.00005890561,0.00005614681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005853241,"about_ca_system_score_gemma":0.00002492327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003035997,"about_ca_topic_score_gemma":0.0000383615,"domain_scores_codex":[0.9989614,0.00004962608,0.0004142278,0.0002040109,0.0002118411,0.0001589106],"domain_scores_gemma":[0.9991749,0.0001552264,0.0002622801,0.0003549792,0.00002123101,0.00003136081],"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":[0.00006127058,0.00002795764,0.0005758302,0.00001559346,0.00001401667,2.284177e-7,0.001712391,0.0004461318,0.9955447,0.00005415436,0.0007840429,0.0007636914],"study_design_scores_gemma":[0.0001617752,0.00001757862,0.007516057,0.00002152888,0.00004279954,3.028587e-7,0.0005765737,0.0006000557,0.9894013,0.0001151267,0.001475387,0.00007149595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941533,0.0001128727,0.003669821,0.0007949009,0.0002834413,0.0002368307,0.0001623458,0.00001062263,0.0005759037],"genre_scores_gemma":[0.9992855,0.00001760517,0.0002001774,0.0001349334,0.00006276143,0.00001785108,0.00004538422,0.000008758846,0.0002270251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006940227,"threshold_uncertainty_score":0.4231818,"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."}}