{"id":"W3023236605","doi":"","title":"Impacts of urban albedo increase on local air temperature at daily through annual time scales: Model results and synthesis of previous work","year":2010,"lang":"en","type":"article","venue":"29th Conf. on Agricultural and Forest Meteorology/19th Symp. on Boundary Layers and Turbulence/Ninth Symp. on the Urban Environment (1-6 August 2010)","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Albedo (alchemy); Work (physics); Air temperature; Atmospheric sciences; Meteorology; Climatology; Geography; Physics; Geology; Thermodynamics","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":[0.0004980585,0.0007998325,0.0006372219,0.0003341916,0.0004114125,0.0009160183,0.0007962134,0.001009071,0.004426249],"category_scores_gemma":[0.0009665235,0.00038074,0.001442444,0.0005926015,0.0003666967,0.0010294,0.0003684705,0.0006427379,0.0005095998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009159191,"about_ca_system_score_gemma":0.0005579527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06379981,"about_ca_topic_score_gemma":0.03561829,"domain_scores_codex":[0.9998817,0.0000318551,0.000006446993,0.00003489239,0.00001179447,0.00003329734],"domain_scores_gemma":[0.9995012,0.0003019737,0.00003285958,0.00004945775,0.00007235388,0.00004213966],"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":[0.0002407375,0.0001962717,0.01180667,0.00007680166,0.0001939982,0.00007164384,0.00003610871,0.9801562,0.001643551,0.0004209566,0.001538058,0.003618921],"study_design_scores_gemma":[0.0001736583,0.0001010584,0.02227258,0.00001790257,0.0002312801,0.00001834107,0.0001154707,0.9730589,0.00244005,0.0006067771,0.0009190599,0.00004489385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988574,0.0003806038,0.00193013,0.0004784942,0.00008080439,0.00002077934,0.002400943,0.0002644214,0.005869721],"genre_scores_gemma":[0.9976278,0.0002222039,0.000429816,0.00005265839,0.00001820943,0.00001753915,0.000747439,0.00006810382,0.0008163108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06379981,"threshold_uncertainty_score":0.1268569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00446645439140103,"score_gpt":0.1734130977744004,"score_spread":0.1689466433829994,"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."}}