{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949055,0.000590642,0.0006222705,0.0002262555,0.00027115,0.0004939495,0.0003784997,0.0004637957,0.0007443431],"category_scores_gemma":[0.0001890217,0.0001977425,0.0006206323,0.0001583609,0.0001889812,0.0003381006,0.0005509019,0.0004502293,0.000229062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894817,"about_ca_system_score_gemma":0.0003157435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425957,"about_ca_topic_score_gemma":0.006007578,"domain_scores_codex":[0.999813,0.00002939332,0.00002577319,0.00005038443,0.00004141894,0.00003996203],"domain_scores_gemma":[0.999845,0.00003095363,0.00003882652,0.00002139839,0.00002979188,0.00003388444],"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":[0.00004099102,0.00001493147,0.0003140836,0.00004107022,0.000005845251,0.00003481302,0.00002204774,0.00002365896,0.9989202,0.000008262944,0.000006086934,0.0005680487],"study_design_scores_gemma":[0.00001816406,0.001561226,0.03828119,0.00002418886,0.00008716944,0.0003855188,0.0003701642,0.001812888,0.9540369,0.00006468005,0.003331477,0.00002635651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980608,0.0007033061,0.0004188098,0.00006320285,0.0000132009,0.00001592697,0.0001396815,0.00002518609,0.000559901],"genre_scores_gemma":[0.9957194,0.0004443055,0.001450213,0.00006632281,0.000008029749,0.00002608242,0.0003515054,0.00001169152,0.00192239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003425957,"threshold_uncertainty_score":0.006812036,"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."}}