{"id":"W1987108187","doi":"10.1016/j.jmmm.2014.09.013","title":"MHD boundary layer flow and heat transfer of nanofluids over a nonlinear stretching sheet: A numerical study","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":398,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Universiti Sains Malaysia","keywords":"Nanofluid; Thermophoresis; Nusselt number; Laminar flow; Boundary layer; Materials science; Mechanics; Heat transfer; Thermodynamics; Sherwood number; Magnetohydrodynamics; Nonlinear system; Shooting method; Dimensionless quantity; Boundary value problem; Reynolds number; Physics; Turbulence; Magnetic field","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":[0.0002921283,0.0004200652,0.0006188137,0.0004847331,0.001015889,0.0007769169,0.0006232318,0.001154993,0.001459251],"category_scores_gemma":[0.001309939,0.0003294814,0.0004896216,0.0003475243,0.001589698,0.0008114344,0.0006232288,0.0006316575,0.0001411363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006077894,"about_ca_system_score_gemma":0.0004193484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005320576,"about_ca_topic_score_gemma":0.001914476,"domain_scores_codex":[0.9998913,0.00002628183,0.000006543,0.00002187113,0.00002816073,0.00002584711],"domain_scores_gemma":[0.9994123,0.000371327,0.00006424358,0.00004758613,0.00004805376,0.00005663078],"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":[0.001048013,0.0009656294,0.0136356,0.0002968531,0.0001142135,0.001108072,0.0007335333,0.7620034,0.1989569,0.007570254,0.0006927107,0.01287481],"study_design_scores_gemma":[0.0001036252,0.0001860568,0.004470211,0.000008530904,0.00001612297,0.00006823536,0.00007352216,0.9867417,0.007629821,0.0004164019,0.0002662714,0.00001947359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900034,0.0001764145,0.004828407,0.0001508433,0.00002206009,0.00003709404,0.0000589996,0.00005139724,0.004671247],"genre_scores_gemma":[0.9970247,0.00005646086,0.00154654,0.00002286626,0.00001267961,0.00001689164,0.00003460433,0.00001097148,0.001274275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005320576,"threshold_uncertainty_score":0.01057923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006018628281211954,"score_gpt":0.2057646009931202,"score_spread":0.1997459727119083,"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."}}