{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022812,0.00009268121,0.0001146455,0.000114708,0.00007022203,0.00002294266,0.00006397889,0.00009364272,8.430291e-7],"category_scores_gemma":[0.0002404713,0.00008385797,0.00004133467,0.0002446291,0.00004177324,0.000007766632,0.00005334432,0.00002022364,3.791624e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601928,"about_ca_system_score_gemma":0.00005214991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155209,"about_ca_topic_score_gemma":0.000005255155,"domain_scores_codex":[0.9993011,0.00002399946,0.0002326568,0.0002381544,0.00006901845,0.0001351233],"domain_scores_gemma":[0.999355,0.00002442376,0.0001084921,0.0001905929,0.0002980958,0.00002337422],"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":[0.0000865179,0.00009361402,0.002806406,0.0002046087,0.00003356708,1.021444e-7,0.00005073667,0.001195183,0.991504,0.001134778,0.001345067,0.001545417],"study_design_scores_gemma":[0.0006240999,0.0001552372,0.0008461258,0.00001718023,0.00004878499,4.192046e-7,0.0003026593,0.001243521,0.9841797,0.00005247413,0.01243976,0.00009003548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931324,0.0007667135,0.005299492,0.00008350454,0.00007076093,0.0004023268,0.00001054105,0.000008054656,0.0002261903],"genre_scores_gemma":[0.9963904,0.0001549264,0.0002175043,0.00006771614,0.00005693955,0.00006537604,0.0007416366,0.000009240089,0.002296282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109469,"threshold_uncertainty_score":0.3419628,"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."}}