{"id":"W3119572621","doi":"10.1108/hff-11-2020-0704","title":"Entropy generation and MHD analysis of a nanofluid with peristaltic three dimensional cylindrical enclosures","year":2021,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanofluid; Mechanics; Peristalsis; Heat generation; Brinkman number; Magnetohydrodynamics; Entropy (arrow of time); Heat transfer; Thermophoresis; Stream function; Entropy production; Partial differential equation; Classical mechanics; Physics; Mathematics; Nusselt number; Mathematical analysis; Thermodynamics; Magnetic field; Turbulence; Chemistry; Reynolds number","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":[0.0001792316,0.0003052351,0.0002552966,0.0004254269,0.0003665889,0.0004771042,0.0003060855,0.0003973328,0.0006766871],"category_scores_gemma":[0.000399097,0.0001055191,0.000399984,0.0001642202,0.0007235431,0.000368058,0.0005786243,0.00027891,0.00008726077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127255,"about_ca_system_score_gemma":0.0003012111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104033,"about_ca_topic_score_gemma":0.0003250789,"domain_scores_codex":[0.999892,0.00002972134,0.000006081246,0.00001498429,0.00004007828,0.00001712333],"domain_scores_gemma":[0.9999115,0.00002946001,0.000019184,0.000008572697,0.00001816289,0.00001314309],"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":[0.0003223786,0.0001064813,0.00694138,0.0003959012,0.00007296518,0.001325824,0.0005676406,0.7430362,0.1573108,0.07064413,0.001354525,0.01792182],"study_design_scores_gemma":[0.000008397677,0.00005175294,0.001124986,0.000005906204,0.000005318142,0.00006864512,0.00002588203,0.9914724,0.004528577,0.002034182,0.0006612838,0.00001278955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.639419,0.001764744,0.3403707,0.0006177601,0.0001966806,0.0001868405,0.0002951864,0.0002990419,0.01685005],"genre_scores_gemma":[0.9907811,0.0002044663,0.006709914,0.00002513906,0.00002356316,0.00004031022,0.00006177225,0.00001686461,0.002136775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104033,"threshold_uncertainty_score":0.00226903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574948687593684,"score_gpt":0.3208926385357871,"score_spread":0.2951431516598503,"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."}}