{"id":"W2949241665","doi":"10.1016/j.scitotenv.2019.06.145","title":"Effects of urbanization on winter wind chill conditions over China","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Central University Basic Research Fund of China; National Natural Science Foundation of China","keywords":"Urbanization; China; Environmental science; Atmospheric sciences; Climatology; Meteorology; Geography; Geology; Biology; Ecology","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":[0.0003486694,0.0003447319,0.000261939,0.0005937998,0.0006989894,0.0007100564,0.0002427378,0.0002794423,0.001491661],"category_scores_gemma":[0.0003264909,0.0001586088,0.0005422568,0.0009182929,0.0006648917,0.0003927641,0.0005707216,0.000278242,0.000125448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941627,"about_ca_system_score_gemma":0.001643447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1437698,"about_ca_topic_score_gemma":0.2632287,"domain_scores_codex":[0.9997446,0.00004084913,0.00001993381,0.00004914956,0.00004341816,0.0001021537],"domain_scores_gemma":[0.9995031,0.00006611391,0.0001136746,0.00003324226,0.0001157314,0.0001680859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004009871,0.00007551639,0.9881053,0.00002483216,0.0001471624,0.0004239493,0.0008906462,0.002302419,0.003654698,0.0002710921,0.0003802978,0.003323164],"study_design_scores_gemma":[0.000002680555,0.00001450343,0.9988785,0.000001465798,0.0000123311,0.00001120451,0.0003948876,0.0004687662,0.00006226546,0.00001588682,0.0001337079,0.000003713864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992137,0.00002743592,0.00002447938,0.00004496118,0.000004722803,0.000002242755,0.0001246271,0.000003468403,0.0005543026],"genre_scores_gemma":[0.9995787,0.00002621469,0.00001190114,0.000008282399,0.000004987822,0.000002115119,0.0001410843,0.000001242991,0.0002254461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437698,"threshold_uncertainty_score":0.2858661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002340719493490448,"score_gpt":0.1749382327082362,"score_spread":0.1725975132147457,"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."}}