{"id":"W4416258994","doi":"10.1016/j.buildenv.2025.113864","title":"Numerical investigation of hill shape on flow characteristics in hilly cities","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Turbulence; Flow (mathematics); Wind tunnel; Wake; Intensity (physics); Wind speed; Large eddy simulation; Elevation (ballistics); Turbulence kinetic energy","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":[0.000143345,0.00009318973,0.0001418016,0.00003636093,0.00006012841,0.000006955025,0.00005809592,0.00003560763,0.0001346306],"category_scores_gemma":[0.00002082291,0.00008212814,0.00002057744,0.0000652782,0.0001608933,0.00003743372,0.00009628804,0.00007114845,0.00001576735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005874261,"about_ca_system_score_gemma":0.000002313287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004723433,"about_ca_topic_score_gemma":0.000001427105,"domain_scores_codex":[0.9993618,0.00002946753,0.0001825914,0.0001918609,0.0001081435,0.000126138],"domain_scores_gemma":[0.999786,0.00004952304,0.00004107331,0.00009026254,5.95965e-7,0.00003260663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002547058,0.00008148957,0.8665109,0.00003641933,0.00001428106,0.000003973854,0.0007071197,0.00342463,0.0105309,0.0007331424,0.0007043505,0.1172273],"study_design_scores_gemma":[0.0001986944,0.00005813077,0.9839129,0.00007954999,0.000007153952,4.589063e-7,0.00006136935,0.007831154,0.002852617,0.0009923666,0.00390336,0.0001021782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997192,0.00005936924,0.0001719762,0.0008910812,0.0000519415,0.00006944111,0.00000469259,0.000008518293,0.001551011],"genre_scores_gemma":[0.9982307,0.0001953337,0.001061706,0.0002933862,0.00001489878,0.000009968535,0.00000259564,0.000004216883,0.0001872094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117402,"threshold_uncertainty_score":0.3349088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008741786928185245,"score_gpt":0.2021228852474145,"score_spread":0.1933810983192293,"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."}}