{"id":"W2618995358","doi":"10.1007/s00397-017-1015-2","title":"Rheology for deposition control of polymer-amended oil sands tailings","year":2017,"lang":"en","type":"article","venue":"Rheologica Acta","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Shell Canada","keywords":"Thixotropy; Rheology; Rheometry; Tailings; Deposition (geology); Slurry; Viscosity; Materials science; Geotechnical engineering; Flume; Geology; Apparent viscosity; Flocculation; Composite material; Metallurgy; Sediment; Chemical engineering; Mechanics; Engineering; Flow (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040164,0.0001932636,0.0004821859,0.00005107085,0.0003708625,0.00001330251,0.0004422741,0.0003117348,0.00009032668],"category_scores_gemma":[0.0007310375,0.0001640894,0.0001646509,0.00002761656,0.0004527078,0.00009937276,0.0001368031,0.0001736775,0.000007462265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002354813,"about_ca_system_score_gemma":0.00001620097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002660714,"about_ca_topic_score_gemma":0.00001023337,"domain_scores_codex":[0.9988883,0.00002742594,0.0003307299,0.0002981325,0.00008203691,0.0003733737],"domain_scores_gemma":[0.998727,0.0003786561,0.0002716528,0.0004664547,0.00009908145,0.00005720781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004021797,0.00008913808,0.005767939,0.00006736607,0.0002237658,0.000005045272,0.00008755798,0.00004648434,0.7922233,0.1994916,0.0001618063,0.001433801],"study_design_scores_gemma":[0.007640536,0.0008041801,0.006880695,0.00009242443,0.0003225433,0.0000556002,0.00008917781,0.651461,0.3279445,0.003711105,0.0002273667,0.0007708738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189829,0.001049655,0.3634125,0.002680393,0.0005421569,0.0002076721,0.00006957048,0.0001814835,0.01287374],"genre_scores_gemma":[0.9900813,0.0001485833,0.001825852,0.0001458003,0.0000904699,0.00008196294,0.00002089136,0.00001594525,0.007589168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6514145,"threshold_uncertainty_score":0.669137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324016249826797,"score_gpt":0.2506700405966988,"score_spread":0.2374298780984308,"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."}}