{"id":"W4376126732","doi":"10.1016/j.uclim.2023.101551","title":"Multiscale numerical assessment of urban overheating under climate projections: A review","year":2023,"lang":"en","type":"review","venue":"Urban Climate","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Concordia University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Infrastructure Canada; Hong Kong Polytechnic University; Research Grants Council, University Grants Committee","keywords":"Overheating (electricity); Environmental science; Climate change; Microclimate; Urban heat island; Climate model; Thermal comfort; Urbanization; Climatology; Meteorology; Environmental resource management; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001525695,0.00135551,0.002007635,0.001903506,0.0002492857,0.001563057,0.001681654,0.001584399,0.00272951],"category_scores_gemma":[0.003335341,0.0006000575,0.00105343,0.003007125,0.00055862,0.001547392,0.001048381,0.001076245,0.0007327509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006555642,"about_ca_system_score_gemma":0.002209636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005813661,"about_ca_topic_score_gemma":0.006550653,"domain_scores_codex":[0.9996352,0.00006692862,0.00005168224,0.0000903911,0.0001332278,0.00002246444],"domain_scores_gemma":[0.9984315,0.0009072641,0.000158789,0.00005100792,0.0004011314,0.0000503681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005092413,0.00008873174,0.0008494887,0.02846355,0.0003221319,0.00007024167,0.00006175104,0.01934103,0.001416761,0.009189956,0.01686856,0.923277],"study_design_scores_gemma":[0.00007358275,0.000341293,0.005791031,0.02831003,0.002135564,0.000602998,0.0003456235,0.03516401,0.003338878,0.03650115,0.8871189,0.0002769795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006055456,0.9920235,0.004926539,0.0005531863,0.0003806617,0.00001371418,0.0001180731,0.00004171481,0.001337022],"genre_scores_gemma":[0.003950434,0.9929304,0.00223713,0.0001194217,0.0004033774,0.00001659364,0.000088464,0.00001198808,0.0002423503],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005813661,"threshold_uncertainty_score":0.01155967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697771663265412,"score_gpt":0.3810337249177188,"score_spread":0.3112565585911776,"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."}}