{"id":"W4224820456","doi":"10.3390/meteorology1020012","title":"Do Airports Have Their Own Climate?","year":2022,"lang":"en","type":"article","venue":"Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urbanization; Microclimate; Geography; Metric (unit); Population; Climate change; Urban climate; Physical geography; Environmental science; Environmental resource management; Engineering; Demography; Operations management; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004713916,0.0001219588,0.0001729359,0.0006859089,0.001444997,0.001472459,0.0003005037,0.0002955119,0.00138676],"category_scores_gemma":[0.001524203,0.0001265418,0.0001523651,0.001678536,0.0009126985,0.0005389269,0.0005197989,0.0003566196,0.0002208772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003225834,"about_ca_system_score_gemma":0.003787709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7746915,"about_ca_topic_score_gemma":0.9268559,"domain_scores_codex":[0.9996438,0.00004110099,0.00001978901,0.00004322684,0.0001011146,0.0001509165],"domain_scores_gemma":[0.9985959,0.0001134172,0.0003919004,0.00007214763,0.0004545253,0.0003721626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002408984,0.000008912322,0.991414,0.00001408591,0.00001419969,0.00009000097,0.001709318,0.00006134742,0.0001662267,0.0001596146,0.0007232243,0.005615113],"study_design_scores_gemma":[7.933443e-7,0.000008549362,0.9915709,0.00001062745,0.000005929356,0.0000765002,0.006628555,0.00008665708,0.00003167263,0.00004434671,0.001529146,0.00000629083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957299,0.0003616949,0.0001001902,0.000381222,0.00001485667,0.000007911074,0.0007006087,0.000005270565,0.002698435],"genre_scores_gemma":[0.9988945,0.000308377,0.00006093065,0.0000507767,0.000006025195,0.000001923543,0.0002860962,0.000001629808,0.0003897422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746915,"threshold_uncertainty_score":0.4532707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148326160077143,"score_gpt":0.2116408223418121,"score_spread":0.2001575607410406,"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."}}