{"id":"W4406130087","doi":"10.3389/fsybi.2024.1513580","title":"Reduction of antimicrobial resistance genes in wastewater through phytoremediation","year":2025,"lang":"en","type":"article","venue":"Frontiers in Synthetic Biology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; University of Manitoba","funders":"Mitacs","keywords":"Phytoremediation; Antimicrobial; Wastewater; Antibiotic resistance; Biotechnology; Gene; Resistance (ecology); Biology; Microbiology; Environmental science; Genetics; Antibiotics; Agronomy; Environmental engineering; Contamination; 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":[0.0001499358,0.00009013521,0.0001811078,0.00005812772,0.00001957933,0.000002557153,0.0001266026,0.000100734,0.00009565532],"category_scores_gemma":[0.00002227322,0.00007865915,0.00002866237,0.0002150642,0.0004671645,0.00008328795,0.00007723366,0.00009088082,0.0000141336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013665,"about_ca_system_score_gemma":0.00000565972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007962093,"about_ca_topic_score_gemma":0.00003088726,"domain_scores_codex":[0.9991505,0.00009245976,0.0002473143,0.0002401744,0.0000508755,0.0002187073],"domain_scores_gemma":[0.999788,0.00001525515,0.00005219082,0.0001240952,0.000001265244,0.00001920949],"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":[0.00008256838,0.0001667862,0.2829719,0.00003162786,0.000007439236,0.000001900383,0.0002151373,0.0001907638,0.7056941,0.0001355081,0.002308639,0.008193579],"study_design_scores_gemma":[0.0007219706,0.00002400033,0.0659572,0.0001264681,0.00001238261,0.00000216031,0.0001620962,0.0002167813,0.915962,0.007537122,0.009110757,0.0001670613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991962,0.0003370459,0.001264204,0.0008909662,0.0008452644,0.0001532954,0.000006330622,0.000007483109,0.004533406],"genre_scores_gemma":[0.9934853,0.000386729,0.005602664,0.0001017396,0.00001356493,0.00000325346,0.000005382972,0.000004169882,0.0003971448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2170147,"threshold_uncertainty_score":0.3207627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151656206844396,"score_gpt":0.2601633779293799,"score_spread":0.248646815860936,"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."}}