{"id":"W4387581008","doi":"10.1016/j.envres.2023.117398","title":"The potential of multicylindrical dielectric barrier discharge plasma for diesel-contaminated soil remediation and biocompatibility assessment","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Information Technology Research Centre; Ministry of Science, ICT and Future Planning; National Research Foundation of Korea; Ministry of Education; Kwangwoon University","keywords":"Dielectric barrier discharge; Diesel fuel; Environmental chemistry; Environmental remediation; Chemistry; Contamination; Water content; Environmental science; Electrode","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000263986,0.0002402754,0.0001412631,0.0001785408,0.0001390182,0.0004453901,0.0002814909,0.000495382,0.0007229807],"category_scores_gemma":[0.0004201835,0.00009670048,0.000256835,0.000174466,0.000189929,0.0003132376,0.0002742907,0.0002841696,0.0002096597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269533,"about_ca_system_score_gemma":0.0002040268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440503,"about_ca_topic_score_gemma":0.0004599018,"domain_scores_codex":[0.9998621,0.00002208817,0.000006709341,0.00003275744,0.00004946462,0.00002691238],"domain_scores_gemma":[0.9998165,0.00005720502,0.00003439636,0.00001929943,0.00005859344,0.00001400803],"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":[0.0001364312,0.00001340421,0.0003295296,0.00007630514,0.00000583666,0.00005299397,0.00001901585,0.0002604632,0.9938732,0.0001083511,0.00004619282,0.005078216],"study_design_scores_gemma":[0.000004771996,0.0002532194,0.0006157121,0.000003191927,0.00001074037,0.0001313065,0.00003733235,0.001175215,0.9967026,0.00005691401,0.001005309,0.000003809973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849347,0.002244572,0.01008485,0.000206772,0.00004161067,0.00002628909,0.0001290776,0.00006622982,0.002266013],"genre_scores_gemma":[0.9940174,0.000746515,0.003949081,0.0000408499,0.000006437844,0.000009891863,0.0000543139,0.00000844954,0.001167192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007229807,"threshold_uncertainty_score":0.002418578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168333979056118,"score_gpt":0.3572521395967642,"score_spread":0.325568799806203,"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."}}