{"id":"W2004378081","doi":"10.1007/s10546-011-9601-9","title":"Relaxation Factor Effects in the Non-Linear Mixed Spectral Finite Difference Model of Flow Over Topographic Features","year":2011,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Mitacs","keywords":"Terrain; Stability (learning theory); Flow (mathematics); Relaxation (psychology); Nonlinear system; Finite difference; Boundary (topology); Amplification factor; Mathematics; Wind tunnel; Boundary layer; Mechanics; Geology; Mathematical analysis; Geometry; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00116339,0.0005407816,0.0006830192,0.0002878121,0.0006251176,0.0009322611,0.001420876,0.001616495,0.001214445],"category_scores_gemma":[0.005463297,0.0006993669,0.0005930416,0.0002642268,0.001064523,0.001960998,0.0007866271,0.001639188,0.0001490299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624418,"about_ca_system_score_gemma":0.001001133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209738,"about_ca_topic_score_gemma":0.01064622,"domain_scores_codex":[0.9997833,0.0001070429,0.00001147267,0.00002831741,0.00003753946,0.00003237906],"domain_scores_gemma":[0.9982779,0.00119985,0.0001204403,0.00007909983,0.0002060425,0.0001167083],"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":[0.0001557924,0.00007125523,0.001103501,0.0000353729,0.00002689402,0.00007311683,0.00008333505,0.9818793,0.003074568,0.008784619,0.0002612159,0.004451179],"study_design_scores_gemma":[0.000009046363,0.000006049272,0.00005582673,0.000001133176,0.000001974896,0.000001658359,0.000002673521,0.9994728,0.0001417201,0.0002696261,0.00003477987,0.000002736029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5010208,0.0007280388,0.4898394,0.001198626,0.0003016487,0.00008332435,0.0001487952,0.0004254323,0.006253912],"genre_scores_gemma":[0.9809939,0.0001574497,0.01505872,0.0001067594,0.00006003424,0.00006268965,0.00008117118,0.000124314,0.003355131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02209738,"threshold_uncertainty_score":0.0439375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240197060000845,"score_gpt":0.2314892093195015,"score_spread":0.209087238719493,"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."}}