{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003800667,0.00008367511,0.0001103014,0.00002872857,0.0002290565,0.000006834131,0.0001700694,0.00003677675,0.0238045],"category_scores_gemma":[0.0000142365,0.00007292665,0.00004151416,0.00008922585,0.00009543385,0.00005878139,0.0003773076,0.0001424126,0.0004154522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133858,"about_ca_system_score_gemma":0.000005248797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071206,"about_ca_topic_score_gemma":0.0001053608,"domain_scores_codex":[0.9990239,0.0001510371,0.0001350583,0.0002596714,0.0001448944,0.0002854889],"domain_scores_gemma":[0.9996095,0.00004645992,0.00005099534,0.0002438152,0.00000195453,0.00004725562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007381839,0.0001503948,0.9061922,0.000004121237,0.00002106873,0.00008703215,0.001913335,0.001972847,0.01981028,0.001414377,0.04062557,0.02773496],"study_design_scores_gemma":[0.0006304384,0.0005590719,0.3252899,9.663424e-7,0.00002657006,0.0002426386,0.0005133225,0.0008351575,0.005178336,0.009388655,0.6570091,0.0003258963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641324,0.00005504135,0.00003128091,0.0005126011,0.0002874271,0.0001395244,0.0000214129,0.00004829682,0.03477208],"genre_scores_gemma":[0.9978302,0.000007847819,0.0002386077,0.0009766411,0.00003004653,0.0000853607,0.00002505025,0.00001115493,0.0007951211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6163835,"threshold_uncertainty_score":0.9770879,"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."}}