{"id":"W4404908091","doi":"10.1016/j.scs.2024.106019","title":"Observed determinants of urban outdoor thermal exposure during hot summer and snowy winter periods in a humid continental climate","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph; National Science Foundation","keywords":"Environmental science; Climatology; Climate change; Urban climate; Atmospheric sciences; Meteorology; Geography; Physical geography; Urban planning; Geology; Oceanography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001999736,0.0001225343,0.0001669449,0.00001746949,0.0001305802,0.00008636454,0.0000538477,0.00007313926,0.0002060749],"category_scores_gemma":[0.000007545022,0.0001064768,0.0000688685,0.00008794885,0.0002728252,0.000354292,0.0001873428,0.0001029806,0.000001545206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040439,"about_ca_system_score_gemma":0.00001284027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051403,"about_ca_topic_score_gemma":0.00009048169,"domain_scores_codex":[0.9990885,0.00002796223,0.0001931806,0.0002311338,0.000109557,0.0003496341],"domain_scores_gemma":[0.9998048,0.00002537493,0.00002888047,0.0000851848,0.000009125681,0.00004661773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002643585,0.00001717004,0.9660914,0.0006489686,0.000011406,0.00004021815,0.02767739,0.000006920127,0.004629867,0.00008319467,0.0004889432,0.0002780818],"study_design_scores_gemma":[0.0005516205,0.00008146953,0.933631,0.0001029984,0.00001601643,0.000009753247,0.06133,0.0008110481,0.002475742,0.00005010955,0.0007756974,0.0001645217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997809,0.001120796,0.00000180917,0.00005373721,0.00004489757,0.0001902156,0.00001594397,0.00002115431,0.0007424633],"genre_scores_gemma":[0.9946787,0.0002208085,0.00005271886,0.00004125565,0.00002928809,0.00001982066,0.000004407759,0.0000143729,0.004938671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03365261,"threshold_uncertainty_score":0.4341997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964801060081915,"score_gpt":0.2164642864741808,"score_spread":0.2068162758733616,"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."}}