{"id":"W4225160370","doi":"10.5276/jswtm/2022.90","title":"Remediation of Waste Drilling Mud Using Surfactantenhanced Washing: Influencing Factors and Petroleum Hydrocarbon Removal","year":2022,"lang":"en","type":"article","venue":"The Journal of Solid Waste Technology and Management","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Environmental remediation; Hydrocarbon; Petroleum; Total petroleum hydrocarbon; Drilling fluid; Pulmonary surfactant; Drilling; Waste management; Environmental science; Petroleum engineering; Environmental engineering; Pulp and paper industry; Chemistry; Geology; Materials science; Contamination; Engineering; Metallurgy; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005742036,0.0001411627,0.0002584565,0.0005316788,0.0001483476,0.000008669537,0.0001818023,0.00005151567,0.000001499677],"category_scores_gemma":[0.00001477076,0.0001136193,0.0000366538,0.0002990417,0.00005582238,0.0001033503,0.0001601263,0.0003721084,6.843652e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007217489,"about_ca_system_score_gemma":0.000005733758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003806703,"about_ca_topic_score_gemma":0.000001133674,"domain_scores_codex":[0.9990964,0.00002534807,0.0003945623,0.00008403749,0.0001997599,0.0001999107],"domain_scores_gemma":[0.9995576,0.00004174223,0.0002019118,0.0001419444,0.00002472736,0.000032085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002117851,0.000007228664,0.0002962441,0.0001255327,0.0001533255,0.00001393172,0.0006299345,0.925385,0.07215848,0.0002214877,0.000007817076,0.0009798317],"study_design_scores_gemma":[0.0008108073,0.0002195176,0.0001539875,0.0003137959,0.0002879163,0.0002928919,0.01614226,0.8801077,0.09999292,0.001076703,0.0003329404,0.0002685794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830487,0.001719264,0.0146101,0.00004501604,0.0003174264,0.00008390375,0.000001636207,0.0000630408,0.0001109374],"genre_scores_gemma":[0.9976217,0.001428714,0.0008732046,0.000006898866,0.00003238109,0.000001170573,4.484136e-7,0.00002226622,0.0000132298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04527733,"threshold_uncertainty_score":0.4633262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007550429462289954,"score_gpt":0.1978315612594098,"score_spread":0.1902811317971198,"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."}}