{"id":"W4376128721","doi":"10.1139/cgj-2022-0399","title":"Feasibility study of using bench-scale centrifugation for segregation and consolidation behaviour of oil sands tailings products","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Calgary","funders":"Canadian Natural Resources Limited","keywords":"Oedometer test; Tailings; Centrifuge; Oil sands; Consolidation (business); Geotechnical engineering; Land reclamation; Breakage; Geology; Environmental science; Materials science; Asphalt; Soil water; Metallurgy; Soil science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005099125,0.0003742208,0.0002497137,0.0002966543,0.000385798,0.0005543692,0.0005903488,0.000461159,0.0007668585],"category_scores_gemma":[0.0008045933,0.000175984,0.0003829872,0.0002625175,0.0004392574,0.0005582072,0.0002410978,0.0002585026,0.0002957727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005157623,"about_ca_system_score_gemma":0.0005161057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003727176,"about_ca_topic_score_gemma":0.006779726,"domain_scores_codex":[0.9997017,0.00004158324,0.00002348042,0.00005089548,0.0001421611,0.00004017017],"domain_scores_gemma":[0.9996405,0.00008670493,0.00006412748,0.00004885275,0.0001268312,0.00003306413],"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":[0.0002283866,0.0003586542,0.006450596,0.000107928,0.00001419322,0.0001755803,0.0001359072,0.002027516,0.9798667,0.0001618404,0.00009601356,0.01037652],"study_design_scores_gemma":[0.00002751707,0.002614123,0.03611048,0.00001886729,0.00006158892,0.0001600771,0.0003248221,0.01196946,0.9469542,0.00007934221,0.001648649,0.00003081263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948747,0.0001875803,0.004094169,0.00003431148,0.00000880812,0.00008648418,0.00007241767,0.00005874279,0.0005829685],"genre_scores_gemma":[0.992587,0.0002393715,0.006411006,0.00001263179,0.000004149978,0.00003641028,0.0001269125,0.00001157941,0.0005709644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003727176,"threshold_uncertainty_score":0.007410944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682129966308514,"score_gpt":0.2707583271919973,"score_spread":0.2439370275289122,"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."}}