{"id":"W2309563997","doi":"10.1007/978-3-319-65133-0_24","title":"Application of CFD to Multi-Phase Mixing in the Metals and Mining Industries","year":2016,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Computational fluid dynamics; Mixing (physics); Slurry; Multiphase flow; Process (computing); Mechanical engineering; Process engineering; Computer science; Engineering; Mechanics; Aerospace engineering; Physics; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003832527,0.0005730808,0.0005576898,0.0008964493,0.0005544704,0.001280972,0.0006341814,0.00120705,0.005793517],"category_scores_gemma":[0.000777735,0.0003753933,0.0008228535,0.0009820684,0.000888121,0.0009868508,0.001215542,0.001282003,0.00134723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133221,"about_ca_system_score_gemma":0.001052688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003001816,"about_ca_topic_score_gemma":0.003667364,"domain_scores_codex":[0.9997502,0.00004597387,0.00001320218,0.00003529942,0.0001365446,0.0000187522],"domain_scores_gemma":[0.9997662,0.0001417255,0.000006867691,0.00001979706,0.00005269738,0.00001275088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009954858,0.0001059612,0.0007751145,0.0008384819,0.00004977564,0.0003332883,0.0003160597,0.1480926,0.02445602,0.1961043,0.02251671,0.6063121],"study_design_scores_gemma":[0.00003962422,0.00009190031,0.001001148,0.0005251893,0.00002785595,0.0005702029,0.0001283054,0.4443204,0.02543971,0.1478577,0.3799133,0.00008454175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01157653,0.08334972,0.7075984,0.003491689,0.003443547,0.0001300429,0.0002379551,0.001089672,0.1890824],"genre_scores_gemma":[0.2824398,0.08049611,0.4670308,0.0008390722,0.00130791,0.0001719449,0.0005382564,0.0004701582,0.1667059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005793517,"threshold_uncertainty_score":0.01938123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443954001174985,"score_gpt":0.2867326400885001,"score_spread":0.2522931000767502,"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."}}