{"id":"W4309047318","doi":"10.1016/j.scitotenv.2022.160158","title":"Involvement of exogenous arsenic-reducing bacteria in root surface biofilm formation promoted phytoextraction of arsenic","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Jilin Scientific and Technological Development Program; National Key Research and Development Program of China; Jilin University; Department of Science and Technology of Jilin Province; Zhejiang University; Program for Jilin University Science and Technology Innovative Research Team; Ministry of Science and Technology of the People's Republic of China","keywords":"Phytoremediation; Siderophore; Arsenic; Shoot; Catalase; Biology; Bacteria; Biofilm; Botany; Arsenite; Arsenate; Chemistry; Environmental chemistry; Heavy metals; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001409681,0.0004553259,0.0003121039,0.0001206328,0.0001487197,0.0003139036,0.0001755411,0.0003932472,0.001105811],"category_scores_gemma":[0.0001469611,0.0001750844,0.0003121714,0.000110367,0.0001803474,0.0002427905,0.0003020698,0.0005908914,0.0002628506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658254,"about_ca_system_score_gemma":0.0003185776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182397,"about_ca_topic_score_gemma":0.002576905,"domain_scores_codex":[0.9998385,0.00002343059,0.000008674174,0.0000320348,0.00004258972,0.00005479153],"domain_scores_gemma":[0.9999214,0.00002022524,0.00001176946,0.00001011347,0.00002055488,0.00001590698],"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":[0.00003919707,0.00001431829,0.00005087341,0.00001656059,0.000001601135,0.00001250703,0.00001020905,0.00001753249,0.9992347,0.00002870767,0.00001100174,0.0005628866],"study_design_scores_gemma":[0.000006522186,0.0001952725,0.001611794,0.00000465314,0.000008888099,0.00002858656,0.00005291056,0.0007184473,0.9967657,0.0000330746,0.0005699936,0.000004067678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952864,0.0005678289,0.002399809,0.0001243542,0.00005426108,0.00002459304,0.0001456507,0.00004668996,0.001350492],"genre_scores_gemma":[0.9939921,0.0004239237,0.002767688,0.0000334612,0.00000905068,0.00002132551,0.0001314574,0.000008546217,0.002612464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182397,"threshold_uncertainty_score":0.003699303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178094616867141,"score_gpt":0.2047470983794687,"score_spread":0.1929661522107973,"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."}}