{"id":"W1822828960","doi":"10.1002/joc.3746","title":"Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations","year":2013,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":592,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate zones; Urban heat island; Land cover; Environmental science; Field (mathematics); Climatology; Classification scheme; Urban climate; Climate model; Meteorology; Land use; Climate change; Urbanization; Geography; Computer science; Geology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005351689,0.00006712633,0.0001149102,0.00005631054,0.00007050981,0.00002153367,0.000207078,0.00006769587,0.0003327888],"category_scores_gemma":[0.0002354232,0.00004844494,0.00005287063,0.00009028505,0.0001733364,0.0004349063,0.0001084355,0.0001294396,0.000004912249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865587,"about_ca_system_score_gemma":0.00008097643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005139214,"about_ca_topic_score_gemma":0.0000717225,"domain_scores_codex":[0.9984831,0.0001150334,0.0004050892,0.00008463305,0.0008132291,0.00009895275],"domain_scores_gemma":[0.9988494,0.00008116636,0.0003362933,0.00009101957,0.0006072188,0.00003492522],"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":[0.0000174802,0.00009233465,0.4640936,0.000005253502,0.00007794089,0.000001090217,0.000459964,0.3665432,0.1643277,0.002148459,0.0005929139,0.001640028],"study_design_scores_gemma":[0.000509667,0.00001435246,0.1252337,0.00003017216,0.00006378286,0.0001299349,0.00007330921,0.8667116,0.001393532,0.005740745,0.00004899595,0.00005015864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952345,0.00004496464,0.002738886,0.001317597,0.0002551839,0.000135168,0.00002068352,0.000002823655,0.000250153],"genre_scores_gemma":[0.9942046,0.00001535372,0.005547692,0.0001782034,0.00003126845,0.000002751138,0.000003635616,0.000005752715,0.00001076123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5001684,"threshold_uncertainty_score":0.3643804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048393545536244,"score_gpt":0.3076442863951425,"score_spread":0.2592507408588985,"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."}}