{"id":"W103282012","doi":"10.1007/978-3-642-17884-9_83","title":"Numerical Solution of Maximum-Entropy-Based Hyperbolic Moment Closures for the Prediction of Viscous Heat-Conducting Gaseous Flows","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stencil; Moment (physics); Mathematics; Entropy (arrow of time); Hyperbolic partial differential equation; Computation; Heat transfer; Adaptive mesh refinement; Applied mathematics; Mechanics; Mathematical analysis; Physics; Thermodynamics; Classical mechanics; Partial differential equation; Algorithm","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":[0.001039114,0.0007827895,0.001345938,0.0006529637,0.0007929296,0.001420997,0.001955243,0.002219877,0.002046117],"category_scores_gemma":[0.004189403,0.0005623911,0.0008886365,0.0005536014,0.001650494,0.00150219,0.001523266,0.001810757,0.0003269731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017693,"about_ca_system_score_gemma":0.001064815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004854099,"about_ca_topic_score_gemma":0.003780117,"domain_scores_codex":[0.9997584,0.0000921103,0.00001866333,0.00002717167,0.00007570798,0.00002789211],"domain_scores_gemma":[0.9984151,0.001080308,0.0001218726,0.00008467637,0.0001837438,0.0001141948],"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":[0.0001653146,0.00008057626,0.0005691109,0.0001402709,0.00003416812,0.0001305194,0.0001731761,0.9331737,0.004733937,0.04466536,0.001217177,0.01491679],"study_design_scores_gemma":[0.000005128018,0.000004060753,0.00002046941,0.000003526621,8.373199e-7,0.000004457484,0.000003070472,0.9980056,0.0001827198,0.001661706,0.0001054048,0.000003016976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1178175,0.002150474,0.860436,0.0009096872,0.0004022938,0.0001446841,0.0002468402,0.0007642842,0.01712821],"genre_scores_gemma":[0.8138605,0.0006661995,0.1750277,0.0001416682,0.0003088201,0.0002447999,0.0002592557,0.0004014664,0.009089492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004854099,"threshold_uncertainty_score":0.009651721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07148103182786913,"score_gpt":0.2668463816365818,"score_spread":0.1953653498087126,"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."}}