{"id":"W4294828588","doi":"10.5194/essd-2022-257-rc2","title":"Comment on essd-2022-257","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Guangdong Provincial Pearl River Talents Program; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Environmental science; Impervious surface; Urbanization; Population; Land cover; Scale (ratio); Climatology; Spatial ecology; Mean radiant temperature; Spatial distribution; Meteorology; Physical geography; Geography; Land use; Remote sensing; Climate change; Cartography; Geology","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":[0.004483474,0.0009932384,0.001106083,0.001040722,0.002037988,0.004629158,0.002636778,0.02986531,0.05637425],"category_scores_gemma":[0.01803233,0.0004702167,0.001635534,0.001528816,0.001797748,0.003223636,0.002299085,0.01601309,0.05190316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868408,"about_ca_system_score_gemma":0.005863779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203809,"about_ca_topic_score_gemma":0.02041608,"domain_scores_codex":[0.9970735,0.0003065929,0.0003791022,0.0003572932,0.001363013,0.0005205586],"domain_scores_gemma":[0.9934674,0.001946574,0.0003230656,0.0004714084,0.003035364,0.0007561418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004050952,0.00001397537,0.0002631098,0.00006306342,0.000003875823,0.000184479,0.00002269883,0.00005712377,0.0001244806,0.002065301,0.9941617,0.002999661],"study_design_scores_gemma":[0.00002427879,0.00001749913,0.0009758591,0.0001246365,0.000004844033,0.00004706889,0.00006357929,0.0001009521,0.0001843863,0.001410672,0.997021,0.00002514855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00162545,0.00293416,0.001435595,0.6372083,0.2170211,0.0003750849,0.01829691,0.001551033,0.1195524],"genre_scores_gemma":[0.005861936,0.001146984,0.0007058596,0.8543933,0.02522473,0.0003424437,0.003350859,0.0002807765,0.108693],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05637425,"threshold_uncertainty_score":0.1885906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503823706771504,"score_gpt":0.2682520489917551,"score_spread":0.24321381192404,"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."}}