{"id":"W2267264532","doi":"10.1680/envgeo.15.00008","title":"Electrokinetic thickening of mature fine oil sands tailings","year":2015,"lang":"en","type":"article","venue":"Environmental Geotechnics","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Tailings; Electrokinetic phenomena; Consolidation (business); Settling; Oil sands; Sediment; Suspension (topology); Environmental science; Geotechnical engineering; Sedimentation; Compaction; Turbidity; Geology; Mineralogy; Materials science; Environmental engineering; Metallurgy; Composite material; Asphalt; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144622,0.0002005398,0.0001545065,0.0002223386,0.0001067884,0.0002535344,0.00009850314,0.0001101201,0.0003907396],"category_scores_gemma":[0.0002169146,0.00007453867,0.0001762023,0.0001627692,0.0001251982,0.0002598753,0.0002157753,0.0002037867,0.00007194618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543272,"about_ca_system_score_gemma":0.0001412366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225433,"about_ca_topic_score_gemma":0.002732678,"domain_scores_codex":[0.9999048,0.00001050819,0.000009994083,0.00001959204,0.00003730118,0.00001779074],"domain_scores_gemma":[0.9999154,0.00001925571,0.00002733559,0.000005212274,0.00002073975,0.0000121213],"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":[0.00008854255,0.00002275653,0.00176403,0.00004020608,0.00000458332,0.00005867943,0.00004550561,0.0003169727,0.9929281,0.000027747,0.00001723963,0.004685706],"study_design_scores_gemma":[0.000004601174,0.0003595295,0.02619601,0.000008295868,0.00001299228,0.00007671008,0.0001312284,0.001482436,0.9708085,0.00003844034,0.0008742026,0.000006945704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998495,0.0001461579,0.0007602623,0.00001071645,0.000004476202,0.00001026333,0.00003928683,0.000009653633,0.0005242619],"genre_scores_gemma":[0.9978835,0.0002010354,0.001006791,0.00001055326,0.000002422114,0.000005310254,0.00004370436,0.000003428708,0.0008433451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001225433,"threshold_uncertainty_score":0.002436578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005603485263330195,"score_gpt":0.1844867587461205,"score_spread":0.1788832734827903,"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."}}