{"id":"W4399916785","doi":"10.1007/978-981-97-0372-2_32","title":"Investigation of Heat Transfer Improvement of Nanofluid Flows Utilizing Alumina Nanoparticles in Large Annulus Region of Cylinders Using CFD Simulation","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Nanofluid; Annulus (botany); Computational fluid dynamics; Materials science; Heat transfer; Nanoparticle; Mechanics; Heat transfer enhancement; Composite material; Nanotechnology; Heat transfer coefficient; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467739,0.000212149,0.0002915463,0.0003313721,0.00002708333,0.000008880525,0.00008980938,0.0001244614,0.00001313096],"category_scores_gemma":[0.000002670589,0.0002265475,0.00006149072,0.0001205055,0.0001622417,0.0002390364,0.00002905552,0.0001348116,7.403617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871542,"about_ca_system_score_gemma":0.00002123561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589771,"about_ca_topic_score_gemma":0.000005644829,"domain_scores_codex":[0.9986888,0.000002110762,0.0004760154,0.0002377899,0.0003637171,0.0002315752],"domain_scores_gemma":[0.9997589,0.00001955957,0.00001112889,0.0001323577,0.000009626226,0.00006843406],"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":[0.000004877965,0.000005251312,0.0001131086,0.0003818908,0.00001330595,0.000002880388,0.0006575293,0.1634938,0.834335,0.0005034474,2.865636e-7,0.0004886169],"study_design_scores_gemma":[0.0002181444,0.00006951948,0.0004911153,0.0005735933,0.00003982546,0.000002507383,0.00008462674,0.4512057,0.546994,0.00006468399,0.0000695015,0.0001867478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955668,0.001580524,0.001974934,0.000004064531,0.0001496308,0.0002388749,0.00002707427,0.00002407508,0.0004340313],"genre_scores_gemma":[0.9993268,0.0004219459,0.0001354203,0.000002732792,0.00001834349,0.000003285779,0.000005589302,0.0000366009,0.0000492944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877119,"threshold_uncertainty_score":0.923834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672520528504048,"score_gpt":0.1964157921241613,"score_spread":0.1796905868391208,"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."}}