{"id":"W2054606255","doi":"10.1139/s04-064","title":"Surfactant-enhanced electrokinetic remediation of polycyclic aromatic hydrocarbons in heterogeneous subsurface environments","year":2005,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Electrokinetic phenomena; Electrokinetic remediation; Phenanthrene; Environmental remediation; Soil water; Environmental chemistry; Chemistry; Soil contamination; Pulmonary surfactant; Contamination; Environmental science; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000309429,0.0001331986,0.0002027105,0.0002984121,0.0000183173,0.00001188671,0.0001757867,0.00004674971,0.000003228508],"category_scores_gemma":[0.00004414803,0.0001349992,0.00003485776,0.0002091518,0.00009601198,0.0002338309,0.00001700483,0.000175307,0.00000140294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568864,"about_ca_system_score_gemma":0.00001281655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001178011,"about_ca_topic_score_gemma":8.435362e-7,"domain_scores_codex":[0.9987537,0.00001011954,0.0004588162,0.0001137188,0.0004108628,0.000252746],"domain_scores_gemma":[0.9996136,0.00005043209,0.000121849,0.0001143011,7.345708e-7,0.00009905367],"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":[0.000003414882,0.00002747124,0.000742168,0.000004613927,0.000006610303,0.000001879148,0.0001504389,0.05666957,0.9388571,0.000001087196,0.000001095829,0.003534496],"study_design_scores_gemma":[0.000272526,0.000133115,0.0383325,0.00003724838,0.000008949616,0.0000491847,0.00001414191,0.1033413,0.8576176,0.00002630749,0.0000470745,0.0001200609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955561,0.00113598,0.003077126,0.00001836388,0.00006741333,0.00007245416,6.451928e-7,0.00002021771,0.00005167989],"genre_scores_gemma":[0.9958685,0.001291644,0.002782156,0.000005063716,0.00002709056,0.000002300141,4.555985e-7,0.00001670494,0.000006051279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08123958,"threshold_uncertainty_score":0.5505109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002915046833544767,"score_gpt":0.1792753528853131,"score_spread":0.1763603060517684,"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."}}