{"id":"W2087657330","doi":"10.1002/fld.2109","title":"On the impact of anisotropic mesh adaptation on computational wind engineering","year":2009,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computational fluid dynamics; Turbulence; Computation; Grid; Solver; Cube (algebra); Flow (mathematics); CFD in buildings; Tower; Engineering; Mathematics; Computer science; Meteorology; Aerospace engineering; Mathematical optimization; Physics; Geometry; Structural engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004068621,0.0001046537,0.0001342801,0.00007264049,0.00006513908,0.00002758592,0.0002535909,0.00002966334,0.000778524],"category_scores_gemma":[0.0006796758,0.00006562654,0.0001592023,0.0001299769,0.00003538138,0.00008687536,0.0000262062,0.0001799457,0.00001211381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495406,"about_ca_system_score_gemma":0.00001250511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001266984,"about_ca_topic_score_gemma":1.68509e-7,"domain_scores_codex":[0.9990321,0.00008953053,0.0002710798,0.0001197487,0.0003515306,0.0001359942],"domain_scores_gemma":[0.9987124,0.001068955,0.00008648683,0.00005505548,0.00003457847,0.00004256635],"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":[0.0001779608,0.0002129463,0.0009458335,7.375758e-7,0.00007037022,0.000005925196,0.0003383817,0.8891293,0.003567463,0.006880141,0.005486764,0.09318418],"study_design_scores_gemma":[0.001061046,0.001890785,0.2824727,0.0001109475,0.00001098518,0.00004339683,0.00009126237,0.6170753,0.00108276,0.09346902,0.0024535,0.000238366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2460105,0.0000241236,0.748514,0.002733742,0.0007584354,0.0001987908,0.00004828572,0.00001536357,0.00169678],"genre_scores_gemma":[0.8482005,0.000006631959,0.1512655,0.0003179011,0.0001384795,0.000004228934,0.00000489219,0.000007056873,0.00005483169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.60219,"threshold_uncertainty_score":0.8524292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321267909935669,"score_gpt":0.3736164063818738,"score_spread":0.3414896153883069,"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."}}