{"id":"W2886849656","doi":"10.1680/jgrim.18.00069","title":"Electrokinetic and chemical treatment of oil sands mature fine tailings: dewatering and strengthening","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Ground Improvement","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Aecom (Canada)","funders":"","keywords":"Tailings; Oil sands; Dewatering; Electrokinetic phenomena; Slurry; Zeta potential; Silt; Flocculation; Hydraulic conductivity; Environmental science; Geotechnical engineering; Waste management; Materials science; Asphalt; Metallurgy; Environmental engineering; Geology; Soil water; Composite material; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070351,0.0001974686,0.0002704346,0.0001295842,0.00003463445,0.00001574254,0.0001215792,0.00009318849,0.000004493334],"category_scores_gemma":[0.00005516681,0.0001552511,0.00004953978,0.0001947633,0.0002085701,0.0001260395,0.00004423652,0.00008385487,7.91908e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146923,"about_ca_system_score_gemma":0.00001707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002453311,"about_ca_topic_score_gemma":0.000005454766,"domain_scores_codex":[0.9990245,0.000001632564,0.0003978564,0.0001592165,0.0002133434,0.0002034247],"domain_scores_gemma":[0.9995367,0.00002124541,0.0001445431,0.00009419129,0.0001557945,0.0000475622],"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":[0.0000237575,0.0000351553,0.0002283512,0.0004300362,0.00007237578,4.945728e-8,0.0005595578,0.00006525887,0.9857931,0.001308948,0.00002406952,0.01145932],"study_design_scores_gemma":[0.0005692347,0.0005844074,0.0004400764,0.0001728239,0.00006381685,0.000007175617,0.00007308401,0.005250787,0.9921429,0.0002483141,0.0003158294,0.0001315789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975331,0.0006017308,0.0004185363,0.00004845306,0.0000984037,0.000163264,0.000005013128,0.00009226153,0.001039209],"genre_scores_gemma":[0.9978573,0.0004661297,0.001515322,0.000004350358,0.00007805371,0.00003058457,0.000002184539,0.00002013221,0.00002596357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01132774,"threshold_uncertainty_score":0.6330957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004523162034315508,"score_gpt":0.1920473898373702,"score_spread":0.1875242278030546,"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."}}