{"id":"W4407598033","doi":"10.1016/j.ecoenv.2025.117898","title":"Bjerkandera adusta TM11 for the bioremediation of fluoroquinolone antibiotics spiked in wastewater: A sustainable approach to pharmaceutical contaminant biotransformation","year":2025,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Campus France; Centre National pour la Recherche Scientifique et Technique; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Providence Health Care; Agence Nationale de la Recherche; European Commission","keywords":"Bioremediation; Biotransformation; Wastewater; Environmental chemistry; Industrial chemistry; Chemistry; Contamination; Waste management; Environmental science; Pulp and paper industry; Biochemical engineering; Microbiology; Environmental engineering; Biology; Organic chemistry; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004709294,0.001311103,0.0004515676,0.0007348445,0.0003404464,0.0007403314,0.0003274416,0.0006650742,0.001106611],"category_scores_gemma":[0.0002491349,0.0002259855,0.0007149173,0.0006040498,0.0001773375,0.0003970965,0.0005108531,0.0008074755,0.000754038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562531,"about_ca_system_score_gemma":0.000408412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265259,"about_ca_topic_score_gemma":0.002100395,"domain_scores_codex":[0.9993759,0.0001196858,0.00008197092,0.0001264612,0.0002209415,0.00007502172],"domain_scores_gemma":[0.9997899,0.00003333909,0.00006215204,0.00002221347,0.00005509318,0.00003740369],"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":[0.00006841985,0.00008141431,0.000254484,0.0001518259,0.00001224745,0.00009268043,0.0000125194,0.00008835494,0.9942431,0.0000391308,0.00006213091,0.004893768],"study_design_scores_gemma":[0.00001566218,0.0005262785,0.005801274,0.00004817939,0.00005881753,0.0005407439,0.00004742022,0.0006693264,0.9857546,0.00006346277,0.006455556,0.00001863855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567289,0.01272286,0.02096476,0.0008201605,0.0002676784,0.0003087027,0.002442949,0.00050007,0.005243786],"genre_scores_gemma":[0.9421048,0.00579492,0.03668103,0.0001948446,0.00003161574,0.0002410357,0.003136066,0.0000917396,0.01172388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001311103,"threshold_uncertainty_score":0.003701985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135319687833996,"score_gpt":0.2612627059533828,"score_spread":0.2499095090750428,"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."}}