{"id":"W4386127603","doi":"10.11159/icepr23.114","title":"Coupling Leaching-Bioremediation for Petroleum-Contaminated Soil","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bioremediation; Leaching (pedology); Petroleum; Soil contamination; Environmental science; Contamination; Waste management; Environmental chemistry; Mining engineering; Geology; Soil water; Chemistry; Soil science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003738933,0.0006104684,0.000403505,0.0002383323,0.0002378828,0.0003572714,0.0002483395,0.0003432831,0.0005547141],"category_scores_gemma":[0.0003186894,0.0001645086,0.000401441,0.0003190034,0.0001822161,0.0004136127,0.0007390886,0.000414421,0.00030444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581856,"about_ca_system_score_gemma":0.0004122285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007911854,"about_ca_topic_score_gemma":0.001899891,"domain_scores_codex":[0.9996057,0.0000946023,0.0000375887,0.00007999811,0.0001294659,0.00005280497],"domain_scores_gemma":[0.9999101,0.00001894461,0.00003145222,0.000008025286,0.00001838687,0.00001311084],"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":[0.00002925812,0.00002654725,0.0002000795,0.00007451703,0.000007426847,0.0000208089,0.00001234225,0.0001383256,0.9950176,0.00003636855,0.00001687718,0.004419812],"study_design_scores_gemma":[0.000003092532,0.00009848356,0.0005765678,0.000002837902,0.00001453908,0.000055848,0.00000859813,0.0005187578,0.9980311,0.00001846682,0.0006676209,0.000004097787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955299,0.00221343,0.0405521,0.000110269,0.00002910292,0.0001422881,0.0001151779,0.000153477,0.001385063],"genre_scores_gemma":[0.9634612,0.002329507,0.03147369,0.00008513288,0.00001490283,0.00008532535,0.0002402693,0.00004385355,0.002266229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007911854,"threshold_uncertainty_score":0.001977384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406738110825751,"score_gpt":0.2354011393262839,"score_spread":0.2213337582180264,"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."}}