{"id":"W2101921705","doi":"10.2298/tsci121017038m","title":"Design of a vertical annulus with MHD flow using entropy generation analysis","year":2013,"lang":"en","type":"article","venue":"Thermal Science","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Thailand Research Fund; National Science and Technology Development Agency","keywords":"Annulus (botany); Mechanics; Entropy (arrow of time); Hartmann number; Thermodynamics; Physics; Materials science; Nusselt number; Turbulence","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":[0.0003339687,0.0004526836,0.0005719659,0.0003353634,0.0004035479,0.0005473577,0.0005659619,0.000591747,0.001333648],"category_scores_gemma":[0.0004607252,0.0003818621,0.0004801478,0.0001428587,0.0004269473,0.0003375795,0.0005868974,0.0002442671,0.000312117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268294,"about_ca_system_score_gemma":0.0007586748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007966635,"about_ca_topic_score_gemma":0.0004822444,"domain_scores_codex":[0.9998335,0.0000389466,0.00001091926,0.00003162515,0.00005705599,0.00002782467],"domain_scores_gemma":[0.9998564,0.00005132359,0.00003495175,0.00001042847,0.00002621737,0.000020778],"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":[0.0003728746,0.0001081778,0.001814823,0.0003302241,0.00002864462,0.0002960316,0.0001005945,0.8469745,0.1122036,0.007779196,0.0005483353,0.02944307],"study_design_scores_gemma":[0.00005561436,0.0002699962,0.0006002657,0.00001129177,0.00001379809,0.00005480307,0.00001615135,0.9880533,0.008641416,0.0009883901,0.001281332,0.00001370677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.234881,0.0004181657,0.7553573,0.0002168821,0.00008454735,0.0001623588,0.0001067516,0.0006607707,0.008112242],"genre_scores_gemma":[0.9055245,0.0001239879,0.09279027,0.00002290336,0.00001819363,0.0001297663,0.00004576073,0.00002251433,0.001322063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001333648,"threshold_uncertainty_score":0.004461527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185312439027122,"score_gpt":0.2141363660151966,"score_spread":0.1922832416249254,"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."}}