{"id":"W2333651006","doi":"10.2514/6.2015-0282","title":"hp-adaptive time integration for ALE simulation of Fluid-Structure Interaction problems","year":2015,"lang":"en","type":"article","venue":"53rd AIAA Aerospace Sciences Meeting","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Fluid simulation; Fluid–structure interaction; Distributed computing; Mechanics; Physics; Finite element method; Thermodynamics","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":[0.001382423,0.0001640807,0.0002800465,0.0001273222,0.0002140709,0.00007710095,0.000215734,0.00008902587,0.00002768526],"category_scores_gemma":[0.005007435,0.0001326482,0.00009034694,0.0005541004,0.0001853936,0.0005167325,0.00005695453,0.0001156848,0.000007587715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129205,"about_ca_system_score_gemma":0.00008150111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005766113,"about_ca_topic_score_gemma":0.00005982033,"domain_scores_codex":[0.9983233,0.000189466,0.0004364556,0.0003244296,0.0004745561,0.0002517793],"domain_scores_gemma":[0.9974689,0.001283545,0.0005371213,0.0001712898,0.0004495516,0.00008952578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001949048,0.0002540443,0.0005305595,0.0001978527,0.00006834983,2.567956e-7,0.01310745,0.2618339,0.6535413,0.02499031,0.0006292107,0.04465184],"study_design_scores_gemma":[0.0003704212,0.0004428698,0.00003138685,0.0002123615,0.00005052004,0.000001311343,0.001758266,0.6736091,0.06406038,0.259146,0.0001268725,0.0001905154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477875,0.00002055423,0.7497341,0.0002568714,0.000428537,0.0007098372,0.00001743247,0.00008393361,0.0009612599],"genre_scores_gemma":[0.6528628,5.227241e-7,0.3468033,0.00001207736,0.00008104951,0.00002037992,0.000007817698,0.00001331904,0.0001987274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5894809,"threshold_uncertainty_score":0.5994729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1869574044814004,"score_gpt":0.4086691565410079,"score_spread":0.2217117520596076,"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."}}