{"id":"W4377194654","doi":"10.1002/cjce.24971","title":"Effects of particle concentration and size on the dissipation rate and turbulent kinetic energy of oil","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Turbulence kinetic energy; Dissipation; Kinetic energy; Turbulence; Mechanics; Particle (ecology); Materials science; Physics; Classical mechanics; Thermodynamics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000439298,0.0002376912,0.000255433,0.0003212445,0.000218338,0.0003997236,0.0001666423,0.0001911796,0.0006124597],"category_scores_gemma":[0.001911214,0.0001747503,0.0002421074,0.000170289,0.0003635927,0.0003495877,0.0001814248,0.0002550427,0.0001078764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003706904,"about_ca_system_score_gemma":0.0002294192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240547,"about_ca_topic_score_gemma":0.00166782,"domain_scores_codex":[0.9997031,0.00004352476,0.00002113873,0.00005775902,0.0001260363,0.00004834026],"domain_scores_gemma":[0.9981672,0.00121094,0.0002079734,0.00006043493,0.0002739121,0.00007955425],"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":[0.0008032481,0.0001240244,0.005491841,0.00009396696,0.00002707748,0.00008916923,0.00006046746,0.004675771,0.9813969,0.0001687204,0.00008095824,0.006987892],"study_design_scores_gemma":[0.00001541244,0.0005347442,0.01560747,0.000005460284,0.00003459748,0.00003654902,0.0000455184,0.01136331,0.9719312,0.00004535197,0.0003600167,0.00002030272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971572,0.0004280002,0.001744122,0.00002600485,0.00002165043,0.000008659151,0.00004578188,0.00002469368,0.0005437996],"genre_scores_gemma":[0.9990054,0.0001402462,0.0005940911,0.000009949875,0.000003542287,0.000004856419,0.00002989502,0.000008868349,0.0002031611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003240547,"threshold_uncertainty_score":0.006443381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0047846086425328,"score_gpt":0.1726496883566081,"score_spread":0.1678650797140753,"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."}}