{"id":"W3034742216","doi":"","title":"A microscale three-dimensional urban energy balance model for studying surface temperatures","year":2007,"lang":"en","type":"article","venue":"Seventh Conference on Coastal Atmospheric and Oceanic Prediction and Processes joint with the Seventh Symposium on the Urban Environment (10-13 September 2007)","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Energy balance; Microscale chemistry; Environmental science; Balance (ability); Energy (signal processing); Surface (topology); Mathematics; Physics; Geometry; Thermodynamics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001611407,0.000499343,0.0007780427,0.0002871359,0.0007304828,0.001010687,0.001486884,0.001324672,0.003638679],"category_scores_gemma":[0.0008022276,0.0005438935,0.0008841901,0.0005432024,0.0006053108,0.0009590759,0.001033353,0.0009700579,0.0003739156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989947,"about_ca_system_score_gemma":0.001182333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0504522,"about_ca_topic_score_gemma":0.03512096,"domain_scores_codex":[0.9999117,0.00001930775,0.000006679303,0.00002802721,0.00001723334,0.00001702077],"domain_scores_gemma":[0.9997656,0.00009057012,0.00002861607,0.0000292431,0.00004847393,0.00003749796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001222919,0.00002191487,0.0006058868,0.000005695814,0.00001242289,0.00001695593,0.000009446086,0.9969843,0.00031641,0.00112172,0.0001959855,0.0006970909],"study_design_scores_gemma":[0.00000502621,0.000002630898,0.0001844497,5.282915e-7,0.000002221689,0.000001494442,0.000003644901,0.9994026,0.00003535613,0.0002620599,0.00009711023,0.000002798692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6271744,0.000467845,0.3290573,0.00145636,0.0003425487,0.0001517333,0.00346325,0.001840283,0.03604623],"genre_scores_gemma":[0.9837518,0.0001273834,0.01252179,0.00009322174,0.00005426734,0.0001115253,0.0005637649,0.0001247667,0.002651464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0504522,"threshold_uncertainty_score":0.1003171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236179891306956,"score_gpt":0.1912164117437363,"score_spread":0.1788546128306667,"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."}}