{"id":"W4307432001","doi":"10.1021/acs.est.2c02976","title":"Integrating Biochar, Bacteria, and Plants for Sustainable Remediation of Soils Contaminated with Organic Pollutants","year":2022,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":408,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Jiangsu Province; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Michigan State University; Alexander von Humboldt-Stiftung","keywords":"Biochar; Environmental remediation; Pollutant; Environmental science; Contamination; Environmental chemistry; Soil contamination; Soil water; Environmental engineering; Waste management; Environmental protection; Chemistry; Biology; Ecology; Soil science; Engineering; Pyrolysis","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":[0.0001671987,0.0004338248,0.0003551045,0.0002589611,0.0001972196,0.0004692602,0.0002679979,0.0005956086,0.0006022235],"category_scores_gemma":[0.0001260626,0.00019727,0.0005051664,0.0001736541,0.0002716002,0.0004483064,0.0005240104,0.0005815826,0.0003020214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068068,"about_ca_system_score_gemma":0.0003802565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005671032,"about_ca_topic_score_gemma":0.001620476,"domain_scores_codex":[0.9998378,0.00002155263,0.000008587856,0.00002872642,0.00004425929,0.00005907926],"domain_scores_gemma":[0.9999514,0.00001159,0.0000125139,0.000004400591,0.000008913121,0.00001119672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004193656,0.0000747851,0.0003722877,0.0002839038,0.00001599896,0.0000876187,0.00002257176,0.0005956463,0.9895096,0.000608025,0.00007514277,0.00831248],"study_design_scores_gemma":[0.00002136204,0.0006831286,0.001977189,0.00005322245,0.00007055147,0.0002109008,0.0001149369,0.005424705,0.9817924,0.0006545484,0.00897563,0.00002136964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9260845,0.01947545,0.04412628,0.001168547,0.0002669519,0.0001915284,0.0003244806,0.0005819942,0.007780261],"genre_scores_gemma":[0.9685041,0.0083054,0.02124443,0.0002551583,0.00002813678,0.00007082862,0.0001058728,0.00002103508,0.001465013],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0006022235,"threshold_uncertainty_score":0.002225995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143124774076748,"score_gpt":0.2467037389832911,"score_spread":0.2352724912425236,"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."}}