{"id":"W4402664577","doi":"10.1016/j.uclim.2024.102136","title":"Modelling the microscale spatial distribution of urban air temperature in suburban sprawl","year":2024,"lang":"en","type":"article","venue":"Urban Climate","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Urban sprawl; Microscale chemistry; Environmental science; Spatial distribution; Urban heat island; Urban morphology; Geography; Meteorology; Economic geography; Urban planning; Environmental engineering; Civil engineering; Remote sensing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003344182,0.0001540371,0.0001494404,0.00003370707,0.00009832291,0.00004914303,0.0001894114,0.0001080429,0.0002204999],"category_scores_gemma":[0.00001307159,0.0001127293,0.00008167805,0.0003649949,0.0001332266,0.0002066888,0.00007668627,0.0002529384,0.0001763727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994295,"about_ca_system_score_gemma":0.00001432712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006771846,"about_ca_topic_score_gemma":0.0002962764,"domain_scores_codex":[0.9987233,0.00006086838,0.0003172725,0.0003246868,0.0002423052,0.0003315248],"domain_scores_gemma":[0.9995668,0.00006666942,0.0000473794,0.000262547,0.000007765089,0.00004884648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000226965,0.0003466097,0.5950315,0.0003763508,0.00004756625,0.00007319089,0.00875386,0.08301982,0.2540936,0.009060434,0.04690026,0.002069766],"study_design_scores_gemma":[0.001255318,0.0002813558,0.3511848,0.0007767922,0.0001570141,0.00003907235,0.0005987363,0.4489672,0.1487772,0.002831088,0.04399677,0.001134674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960803,0.0004462238,0.0005330611,0.0002550506,0.0002745667,0.0002697105,0.0001276371,0.00006382093,0.00194962],"genre_scores_gemma":[0.9989495,0.0000472548,0.00007919988,0.00004278969,0.00009893329,0.0000213067,0.0001525575,0.00002039992,0.0005880354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3659474,"threshold_uncertainty_score":0.4596966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751299331562449,"score_gpt":0.2105667338993403,"score_spread":0.2028154345677778,"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."}}