{"id":"W2800025355","doi":"10.1139/tcsme-2000-0011","title":"MODELING OF CONCENTRATED SUSPENSION FLOW","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suspension (topology); Mechanics; Flow (mathematics); Newtonian fluid; Materials science; Rheology; Non-Newtonian fluid; Physics; Composite material; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002365337,0.0006751113,0.000758425,0.0006328452,0.0005248244,0.0009663671,0.001629348,0.001642469,0.001792802],"category_scores_gemma":[0.0006585289,0.000304728,0.0005206259,0.0004440653,0.000525209,0.0008415057,0.000565754,0.0005803135,0.0005061426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055903,"about_ca_system_score_gemma":0.001170004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007282142,"about_ca_topic_score_gemma":0.002498998,"domain_scores_codex":[0.9998251,0.00002683327,0.000009956899,0.00004666872,0.00006445309,0.00002703303],"domain_scores_gemma":[0.9998159,0.00005926452,0.00002619397,0.00002309726,0.00005736587,0.00001818195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004078908,0.00006162832,0.0005726746,0.00005052674,0.00001477202,0.0001206514,0.00006372728,0.9686072,0.01654896,0.009041741,0.0003581552,0.004519247],"study_design_scores_gemma":[0.000006226388,0.00001231773,0.0000889293,0.00000188252,0.000002458967,0.00001293448,0.000003121115,0.9976228,0.001311591,0.0005350706,0.0003988307,0.000003797453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2575932,0.0006114322,0.7176802,0.0002942168,0.0001480626,0.0003770609,0.00113453,0.001178065,0.02098326],"genre_scores_gemma":[0.9141581,0.0006133244,0.07012749,0.0001133435,0.00005904556,0.0006648551,0.0007602996,0.0001146847,0.01338896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007282142,"threshold_uncertainty_score":0.01447952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454103509820261,"score_gpt":0.2053659802453841,"score_spread":0.1908249451471815,"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."}}