{"id":"W2171600339","doi":"10.1139/l10-032","title":"Verification, validation, and uncertainty in computational fluids dynamicsThis article is one of a selection of papers published in this Special Issue on Hydrotechnical Engineering.","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Government of Canada","keywords":"Computational fluid dynamics; Computer science; Code (set theory); Sensitivity (control systems); Verification and validation; Cascade; Algorithm; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04728802,0.0009543683,0.001290956,0.001901626,0.001816991,0.004049575,0.001719317,0.002784096,0.001427448],"category_scores_gemma":[0.1597079,0.0008888854,0.001318798,0.001406739,0.00847843,0.006105619,0.005393211,0.003646446,0.0003658454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028946,"about_ca_system_score_gemma":0.005071623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735941,"about_ca_topic_score_gemma":0.001317675,"domain_scores_codex":[0.9389291,0.02763674,0.003559632,0.002910336,0.02596999,0.000994136],"domain_scores_gemma":[0.8177271,0.1379097,0.006180597,0.01840324,0.01902264,0.0007567529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003612824,0.0001240339,0.01292047,0.000959293,0.0002397238,0.0005808696,0.001097684,0.2240361,0.007875924,0.3876529,0.01099968,0.353152],"study_design_scores_gemma":[0.00004047239,0.0001913406,0.00240184,0.0007648539,0.00005645262,0.0003643953,0.0002422723,0.653702,0.02766624,0.2847343,0.02965538,0.0001803759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02328338,0.007336731,0.9554896,0.005473804,0.001553611,0.0001049662,0.00008033706,0.0005017251,0.006175955],"genre_scores_gemma":[0.6243796,0.006190888,0.3617917,0.00105225,0.001642955,0.0002789077,0.0002946297,0.0008859859,0.003483143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04728802,"threshold_uncertainty_score":0.2500859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003401103183643529,"score_gpt":0.17729286796314,"score_spread":0.1738917647794965,"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."}}