{"id":"W2474509517","doi":"10.1007/s10546-016-0179-0","title":"Combining Wind-Tunnel and Field Measurements of Street-Canyon Flow via Stochastic Estimation","year":2016,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"CHIST-ERA; Agence Nationale de la Recherche","keywords":"Canyon; Wind tunnel; Geology; Intermittency; Anemometer; Particle image velocimetry; Meteorology; Flow (mathematics); Wind speed; Turbulence; Remote sensing; Mechanics; Physics; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001012269,0.0008044227,0.0009407391,0.001550496,0.0003116502,0.0008869024,0.0005726502,0.0008184937,0.0003360403],"category_scores_gemma":[0.002700692,0.0006207355,0.0006725653,0.001679607,0.0003410454,0.001594364,0.0005507284,0.0006761743,0.000164171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170121,"about_ca_system_score_gemma":0.00100157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131227,"about_ca_topic_score_gemma":0.0210431,"domain_scores_codex":[0.9996749,0.00008965411,0.00001943466,0.0001037841,0.00006453492,0.00004770098],"domain_scores_gemma":[0.9988943,0.0004350469,0.0001709,0.0001283119,0.0002885191,0.00008303083],"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":[0.0006852927,0.0007729274,0.1258513,0.0002101976,0.0004647822,0.0001395886,0.0001922104,0.6890897,0.04661523,0.001234257,0.00163839,0.1331061],"study_design_scores_gemma":[0.00003859872,0.00004746442,0.0338921,0.000008849134,0.00004142812,0.00001717193,0.00002260178,0.9632071,0.001912704,0.0005839385,0.000196598,0.0000315567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8585448,0.0001933998,0.1384504,0.0000990309,0.00007325405,0.00003954693,0.0007964965,0.0007257333,0.00107741],"genre_scores_gemma":[0.9739515,0.00008338166,0.02434216,0.0000237475,0.00004319229,0.00002107021,0.001216803,0.00004283283,0.0002754032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131227,"threshold_uncertainty_score":0.02249289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288904895585931,"score_gpt":0.2420167332623387,"score_spread":0.2191276843064794,"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."}}