{"id":"W4405899250","doi":"10.1016/j.jenvman.2024.123910","title":"Active phytoextraction of toluene shifts the microbiome and enhances degradation capacity in hybrid poplar","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; EcoMetrix; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; BP","keywords":"Phytoremediation; Degradation (telecommunications); Toluene; Biodegradation; Environmental science; Microbiome; Bioremediation; Environmental chemistry; Chemistry; Biology; Contamination; Ecology; Engineering; Heavy metals; Organic chemistry","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":[0.0001675965,0.0003296749,0.0002815666,0.0002856775,0.0002420119,0.0005785316,0.0001454619,0.0002593399,0.0007667515],"category_scores_gemma":[0.0001745405,0.0001565001,0.0003367574,0.000262533,0.0002058425,0.0003152784,0.0003660251,0.0006591392,0.0002584131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264404,"about_ca_system_score_gemma":0.0002439591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658367,"about_ca_topic_score_gemma":0.00251988,"domain_scores_codex":[0.9997942,0.00002640841,0.000009415526,0.0000645305,0.00004447217,0.00006101276],"domain_scores_gemma":[0.9998329,0.0000332439,0.00003353769,0.00001440319,0.00003790723,0.00004809127],"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":[0.00006955377,0.00003500774,0.002925201,0.00003022568,0.00001053973,0.00004735833,0.00006518835,0.00005326839,0.994903,0.00001912501,0.00002750321,0.001814092],"study_design_scores_gemma":[0.00001914075,0.001188651,0.3693273,0.000030864,0.0001180515,0.0005906908,0.001305422,0.002697721,0.6188873,0.0002504278,0.005535807,0.00004865212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976561,0.000266379,0.001091143,0.00002903715,0.000007316551,0.000008419549,0.000556191,0.00004290869,0.0003423673],"genre_scores_gemma":[0.9957776,0.0002319491,0.001213367,0.00009160374,0.000004655026,0.00002228422,0.001147588,0.0000342418,0.001476675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001658367,"threshold_uncertainty_score":0.003297448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319401555483867,"score_gpt":0.1881237726159169,"score_spread":0.1749297570610782,"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."}}