{"id":"W3200367740","doi":"10.1016/j.jenvman.2021.113756","title":"Influences of integrated coagulation-ozonation pretreatment on the characteristics of dissolved organic pollutants (DOPs) of heavy oil electric desalting wastewaters","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Science Foundation of China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Chemistry; Biodegradation; Pollutant; Environmental chemistry; Wastewater; Chemical oxygen demand; Dissolved organic carbon; Residual oil; Pulp and paper industry; Organic chemistry; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002609378,0.0001795639,0.0003048253,0.0000955042,0.00006368939,0.00001022157,0.0002151995,0.00003532524,0.0009581656],"category_scores_gemma":[0.00003433451,0.0001229592,0.0001082603,0.0002977015,0.0001296377,0.0001896657,0.0001335317,0.00009206406,0.00001171072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006018021,"about_ca_system_score_gemma":0.00001263735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160562,"about_ca_topic_score_gemma":0.000003542286,"domain_scores_codex":[0.9979618,0.0001205129,0.0008710977,0.0001820962,0.0006949488,0.0001695775],"domain_scores_gemma":[0.9984543,0.00008695925,0.001141537,0.0002457605,0.00001681574,0.0000546527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002699156,0.001420085,0.1020439,0.00005987959,0.0004611645,0.00004493065,0.0008297202,0.006825035,0.8303128,0.00008946644,0.0000128823,0.05763023],"study_design_scores_gemma":[0.0006070621,0.0003350902,0.5588776,0.0001238724,0.0001422652,0.00001164775,0.0008574815,0.0002376241,0.4385468,0.000114807,0.00005325134,0.00009255054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988608,0.00006766726,0.0004451149,0.0001529399,0.00007417249,0.0001630442,0.00003767194,0.000003422347,0.0001951328],"genre_scores_gemma":[0.9970139,0.0003420328,0.002306171,0.00003459965,0.000009330847,0.000005166635,0.00001417331,0.00001501302,0.0002596605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4568337,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007615467225751572,"score_gpt":0.2068049173034921,"score_spread":0.1991894500777406,"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."}}