{"id":"W4377103757","doi":"10.3390/w15101899","title":"Synergistic Removal of Ciprofloxacin and Sulfamethoxazole by Lemna minor and Salvinia molesta in Mixed Culture: Implications for Phytoremediation of Antibiotic-Contaminated Water","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lemna minor; Phytoremediation; Biology; Aquatic plant; Lemna; Monoculture; Toxicology; Botany; Contamination; Agronomy; Macrophyte; Ecology","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":[0.0002348691,0.0001095265,0.0001729373,0.00003913405,0.00003686118,0.00000839015,0.00007066834,0.00006263322,0.00002943465],"category_scores_gemma":[0.00002565235,0.00006941544,0.00002422844,0.00008920861,0.0002414926,0.0001133872,0.0001252018,0.00004954043,0.00001840611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540347,"about_ca_system_score_gemma":0.00000141213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007861202,"about_ca_topic_score_gemma":0.00001822923,"domain_scores_codex":[0.99914,0.00003604854,0.0002389603,0.000228545,0.00009199786,0.0002644458],"domain_scores_gemma":[0.9997339,0.00003959363,0.00003790726,0.0001077872,0.000004496287,0.00007626738],"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":[0.00002364004,0.00006706488,0.03871383,0.00005540356,0.000007166094,0.000001934504,0.0004798162,0.00001736873,0.957696,0.00001735745,0.0002666996,0.0026537],"study_design_scores_gemma":[0.0004998409,0.00005322484,0.2656484,0.00001495459,0.00001565527,0.000002347251,0.00005365589,0.0004778094,0.7321703,0.0003181272,0.0006596348,0.00008610367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987417,0.00004523727,0.0001081191,0.0005268984,0.00003569627,0.0002741978,0.00008231744,0.00001229901,0.0001734802],"genre_scores_gemma":[0.9989201,0.0000906486,0.0003636697,0.00005132071,0.000007733781,0.000003761033,0.0001307491,0.00001119478,0.0004207906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2269346,"threshold_uncertainty_score":0.283068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782029678700786,"score_gpt":0.2740716205444106,"score_spread":0.2562513237574027,"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."}}