{"id":"W2900607020","doi":"10.1139/cjp-2017-0801","title":"An improvement in heat transfer for rotating flow of hybrid nanofluid: a numerical study","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofluid; Magnetohydrodynamic drive; Heat transfer; Mechanics; Magnetohydrodynamics; Physics; Thermodynamics; Heat transfer enhancement; Flow (mathematics); Materials science; Magnetic field; Heat transfer coefficient","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":[0.0003952761,0.0002553334,0.0003935161,0.000284272,0.0004063594,0.0004313539,0.0004027351,0.0006542304,0.0008175778],"category_scores_gemma":[0.0008646275,0.0001275417,0.0003838758,0.0002679862,0.0004249573,0.0003857851,0.0002866982,0.0002549116,0.00009804983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368207,"about_ca_system_score_gemma":0.0002286895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00356329,"about_ca_topic_score_gemma":0.001185674,"domain_scores_codex":[0.9998933,0.00002895212,0.000006590533,0.00001872922,0.00002864255,0.00002379184],"domain_scores_gemma":[0.9997453,0.0001324821,0.00003258487,0.00002260328,0.00005411159,0.00001293178],"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":[0.0005256431,0.0003097019,0.007599069,0.0005734282,0.00005802902,0.0006221973,0.0004639199,0.7334983,0.2112444,0.01433829,0.0009200208,0.02984699],"study_design_scores_gemma":[0.00001929959,0.0001000358,0.0006440824,0.000005765874,0.000006904475,0.0000267493,0.00002428332,0.9904501,0.008125625,0.0001998127,0.000389034,0.000008398966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369662,0.001064935,0.05245451,0.0002827707,0.00008563975,0.00007446601,0.0001017558,0.0001811018,0.008788578],"genre_scores_gemma":[0.985254,0.0002132193,0.01348475,0.00001249534,0.00001218569,0.00003307096,0.00003033891,0.0000123633,0.0009474732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00356329,"threshold_uncertainty_score":0.007085085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121292325104732,"score_gpt":0.227682301878869,"score_spread":0.2155530693683958,"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."}}