{"id":"W2774847050","doi":"10.1002/2017jd027021","title":"Positive or Negative? Urbanization‐Induced Variations in Diurnal Skin‐Surface Temperature Range Detected Using Satellite Data","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Urbanization; Diurnal temperature variation; Urban heat island; Daytime; Urban climate; Satellite; Environmental science; Geography; China; Climatology; Surface air temperature; Range (aeronautics); Physical geography; Climate change; Atmospheric sciences; Meteorology; Ecology; Precipitation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127594,0.0001662661,0.0002913866,0.00002349062,0.000726888,0.0004062371,0.001255194,0.0001251542,0.0005331206],"category_scores_gemma":[0.003094007,0.0001223745,0.00006340878,0.0005574659,0.0003084941,0.001923939,0.0006356493,0.0009539765,0.00007480154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437381,"about_ca_system_score_gemma":0.0002482732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086514,"about_ca_topic_score_gemma":0.002040805,"domain_scores_codex":[0.9970161,0.0005355673,0.0004140524,0.0003346272,0.001226688,0.0004729178],"domain_scores_gemma":[0.9976841,0.000730733,0.0003566204,0.0007116182,0.00027229,0.0002446558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002061122,0.001201274,0.3569734,0.00003866512,0.000229476,0.0006450959,0.003179352,0.002097208,0.6041389,0.0002544308,0.003900718,0.02528031],"study_design_scores_gemma":[0.001205633,0.000347815,0.9781599,0.0001633127,0.00002446128,0.00003349238,0.0001656145,0.01018838,0.007649536,0.001711999,0.0001821419,0.0001677093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980249,0.00006813087,0.0002602092,0.0006603416,0.0001108247,0.0002989386,0.00003082531,0.000006545328,0.0005392202],"genre_scores_gemma":[0.9911746,0.00008327105,0.007865932,0.00002554355,0.0003157319,0.000001709231,0.000006707018,0.00002383342,0.0005027118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6211864,"threshold_uncertainty_score":0.5837297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301407446430784,"score_gpt":0.3542161189067645,"score_spread":0.2812020444424567,"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."}}