{"id":"W3158215489","doi":"10.30958/ajte.8-2-3","title":"ANumerical Uncertainty in Parallel Processing Using Computational Fluid Dynamics as Example","year":2021,"lang":"en","type":"article","venue":"Athens Journal of Τechnology & Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"San José State University","keywords":"Computer science; Computational fluid dynamics; Computation; Aerodynamics; Interface (matter); Software; Computational resource; Message Passing Interface; Parallel computing; Computational complexity theory; Algorithm; Computational science; Message passing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000683924,0.0001065729,0.0002902623,0.000414224,0.00006669061,0.0000671727,0.0003407289,0.0001217346,0.00004690369],"category_scores_gemma":[0.0007732463,0.00009534418,0.00009150522,0.001075082,0.00005365147,0.0001888369,0.00008163197,0.0003190532,0.00000602766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468203,"about_ca_system_score_gemma":0.0001765878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001907087,"about_ca_topic_score_gemma":0.000007551787,"domain_scores_codex":[0.9983937,0.00003678693,0.0007587669,0.0001988207,0.00042102,0.0001909483],"domain_scores_gemma":[0.9985381,0.00043486,0.0002694954,0.0001988929,0.0005007719,0.00005789686],"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":[0.000005476074,0.00003753341,0.001706078,0.000001765897,0.00000862567,0.00004900607,0.000138712,0.9684077,0.001948501,0.01677723,0.0000177491,0.01090165],"study_design_scores_gemma":[0.0002626083,0.00002784242,0.001813055,0.00003238288,0.00000783706,0.0005742551,0.0003362426,0.9581167,0.0002302688,0.0356221,0.002878187,0.00009857063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5198615,0.000148808,0.4791501,0.0007109155,0.00004519434,0.00003098869,0.000001276223,0.00002578512,0.00002543494],"genre_scores_gemma":[0.9023553,0.00000991985,0.09750526,0.00006259306,0.00003532591,0.000001982546,0.000002403405,0.00001084375,0.00001635052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3824939,"threshold_uncertainty_score":0.3888023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07395595478477392,"score_gpt":0.3755842270993727,"score_spread":0.3016282723145988,"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."}}