{"id":"W3213053717","doi":"10.1155/2021/3209855","title":"Numerical Study of the Effect of Magnetic Field on Nanofluid Heat Transfer in Metal Foam Environment","year":2021,"lang":"en","type":"article","venue":"Geofluids","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanofluid; Nusselt number; Porous medium; Darcy number; Pressure drop; Heat transfer; Materials science; Heat transfer enhancement; Mechanics; Thermodynamics; Fluid dynamics; Heat transfer coefficient; Porosity; Turbulence; Reynolds number; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279606,0.0003704507,0.0005334279,0.0004288204,0.0007499026,0.0005590575,0.0004656197,0.001024768,0.001650024],"category_scores_gemma":[0.001069851,0.0001994308,0.0004454317,0.0004699621,0.0006446562,0.0004132086,0.0004179089,0.0003390211,0.0001103316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006592664,"about_ca_system_score_gemma":0.0005480928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009138417,"about_ca_topic_score_gemma":0.004879445,"domain_scores_codex":[0.9998742,0.0000335097,0.000006243899,0.00001616085,0.00003119494,0.00003864973],"domain_scores_gemma":[0.9994277,0.0003676313,0.00006826803,0.00002144137,0.00007820693,0.00003671867],"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":[0.0002189315,0.00009987366,0.003273891,0.0001760918,0.00003056374,0.000430372,0.0001477428,0.9744611,0.01265153,0.00274846,0.0005383691,0.005223171],"study_design_scores_gemma":[0.00001939869,0.00005645548,0.0005553396,0.00000805432,0.000006170069,0.00002103351,0.00003679831,0.9968536,0.001929412,0.0002437248,0.00026268,0.000007285444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528902,0.0008004454,0.0246684,0.0006062234,0.0001154619,0.00005871033,0.0002529741,0.000222285,0.02038539],"genre_scores_gemma":[0.9938259,0.0001242839,0.004418395,0.00002667331,0.000009535128,0.00002746273,0.0000494587,0.00001509205,0.001503356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009138417,"threshold_uncertainty_score":0.01817042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004751448930625419,"score_gpt":0.1892347398805029,"score_spread":0.1844832909498774,"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."}}