{"id":"W2068508502","doi":"10.1007/s12273-011-0035-6","title":"Impact of non-uniform urban surface temperature on pollution dispersion in urban areas","year":2011,"lang":"en","type":"article","venue":"Building Simulation","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Canyon; Dispersion (optics); Airflow; Environmental science; Street canyon; Flow (mathematics); Thermal; Meteorology; Urban heat island; Computational fluid dynamics; Pollution; Mechanics; Atmospheric sciences; Geography; Geology; Thermodynamics; Geomorphology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247491,0.0001211239,0.00012579,0.00004973297,0.00008555689,0.000007738468,0.0000825116,0.00007215697,0.0001607446],"category_scores_gemma":[0.00002832686,0.00009533985,0.00007093118,0.000253366,0.00004652137,0.000217078,0.00004754386,0.00008999897,0.00002576842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317371,"about_ca_system_score_gemma":0.00000563914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006712038,"about_ca_topic_score_gemma":0.00002561648,"domain_scores_codex":[0.9992668,0.00002180718,0.0001632296,0.0001935223,0.0001809532,0.000173712],"domain_scores_gemma":[0.9997128,0.00002644848,0.00007563607,0.0001385114,0.000007750887,0.00003889916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006266595,0.00009559601,0.5887117,0.000003658077,0.000005670284,9.503678e-7,0.001373004,0.3841817,0.02467123,0.00003701457,0.0002742497,0.0005825001],"study_design_scores_gemma":[0.0003159035,0.0001700694,0.9443216,0.0000572957,0.000005356093,2.395721e-7,0.000051324,0.05237776,0.002468423,0.00007360626,0.00004698227,0.0001114353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974568,0.00001430353,0.0001101052,0.00002091066,0.00005910478,0.0001509859,0.000006129554,0.0000188367,0.002162782],"genre_scores_gemma":[0.9993972,0.000003846474,0.0004346543,0.00001516013,0.0000333631,0.000001087232,0.000005561987,0.000009267087,0.00009983667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3556099,"threshold_uncertainty_score":0.3887846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388578004356922,"score_gpt":0.2558226028304514,"score_spread":0.2419368227868822,"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."}}