{"id":"W4411413670","doi":"10.1021/acsomega.5c01905","title":"Efficient Immobilization of <i>Streptomyces gobitricini</i> Lipase for Sustainable Lipid Degradation and Wastewater Bioremediation","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"King Saud University","keywords":"Bioremediation; Lipase; Wastewater; Degradation (telecommunications); Chemistry; Environmental science; Streptomyces; Pulp and paper industry; Waste management; Biochemical engineering; Biotechnology; Environmental chemistry; Biochemistry; Enzyme; Biology; Environmental engineering; Engineering; Bacteria; Ecology; Contamination","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001383184,0.000526455,0.0002613151,0.0002515636,0.00008695044,0.0003139081,0.0002339013,0.0002471909,0.0004674686],"category_scores_gemma":[0.0001391732,0.0001240301,0.0003647502,0.0002213611,0.0001546153,0.00016173,0.0003451821,0.0002874756,0.0002686585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089984,"about_ca_system_score_gemma":0.0001585242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972251,"about_ca_topic_score_gemma":0.0008708776,"domain_scores_codex":[0.9998399,0.00002455246,0.00001763066,0.00003257708,0.00005363293,0.0000316335],"domain_scores_gemma":[0.9999584,0.000005385988,0.0000148647,0.000004152272,0.000006901271,0.00001022163],"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":[0.00001438091,0.000004192435,0.00008284758,0.00001981657,0.000002986943,0.00002195988,0.000002492186,0.00003919665,0.9990155,0.00001460702,0.00001032528,0.0007717469],"study_design_scores_gemma":[0.000003446117,0.00006486441,0.001354216,0.000004204214,0.000009120437,0.00007257912,0.00001254433,0.0006673561,0.9970347,0.00001021954,0.000762763,0.000003962075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984832,0.002187018,0.01037549,0.0001377562,0.00003310731,0.00003386903,0.0002190962,0.0001732389,0.002008373],"genre_scores_gemma":[0.9929979,0.000803155,0.004788226,0.00003271503,0.000008694185,0.00001710982,0.0003239801,0.00001852144,0.001009767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000526455,"threshold_uncertainty_score":0.001563847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005128870178887517,"score_gpt":0.2340071201670857,"score_spread":0.2288782499881982,"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."}}