{"id":"W2036344189","doi":"10.1155/2014/634328","title":"Combined Analytical-Numerical Solution for MHD Viscous Flow over a Stretching Sheet","year":2014,"lang":"en","type":"article","venue":"Journal of Computational Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flow (mathematics); Magnetohydrodynamics; Boundary layer; Mechanics; Viscous flow; Constant (computer programming); Mathematics; Nonlinear system; Magnetic field; Boundary value problem; Homotopy; Mathematical analysis; Physics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002761493,0.0001594603,0.000301589,0.0002083167,0.00004586128,0.00004402032,0.0001121991,0.00007070593,0.00002198272],"category_scores_gemma":[0.00006202652,0.0001572068,0.000187468,0.0001414233,0.000009719792,0.0002058458,0.000007728451,0.0002229176,0.000003467354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009306892,"about_ca_system_score_gemma":0.00002914055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.236303e-7,"about_ca_topic_score_gemma":1.60567e-7,"domain_scores_codex":[0.9989016,0.00001171899,0.0004737741,0.0000881798,0.0002932578,0.0002314934],"domain_scores_gemma":[0.9993181,0.0003091429,0.00003241518,0.00006378537,0.0001431475,0.0001334096],"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":[0.00002627192,0.0000241512,0.00005822225,0.00007837514,0.00009948912,0.000003254926,0.0000615243,0.9913586,0.001171948,0.00308069,0.0008717095,0.003165773],"study_design_scores_gemma":[0.001094185,0.0001455804,0.002488988,0.00007617374,0.00004822136,0.00002999244,0.000002267863,0.9939035,0.0001795744,0.0009849864,0.0008792581,0.0001673315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1042918,0.00008648761,0.8947284,0.000115396,0.0005446813,0.00007390378,0.000006910443,0.00007375146,0.00007867748],"genre_scores_gemma":[0.9379797,0.000005916148,0.0614582,0.00003984895,0.0004581782,0.000003530983,0.00000977441,0.00003872352,0.000006143235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8336879,"threshold_uncertainty_score":0.6410706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00729165104908282,"score_gpt":0.2190621523725329,"score_spread":0.2117705013234501,"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."}}