{"id":"W2579759697","doi":"10.1002/2016gl072190","title":"Urban heat island‐induced increases in evapotranspirative demand","year":2017,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Impervious surface; Environmental science; Urban heat island; Evapotranspiration; Urbanization; Vegetation (pathology); Land cover; Growing season; Atmospheric sciences; Hydrology (agriculture); Land use; Ecology; Geography; Meteorology; 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":[0.00004395577,0.0001026996,0.0001024854,0.00009781357,0.0001060496,0.0002555509,0.00008287714,0.0000989943,0.001957818],"category_scores_gemma":[0.00009749816,0.00005050961,0.0000897364,0.0001917746,0.0001058745,0.0001289771,0.0001671154,0.0001512576,0.0001481201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384532,"about_ca_system_score_gemma":0.0001094773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004537831,"about_ca_topic_score_gemma":0.00808459,"domain_scores_codex":[0.9999725,0.000004459323,0.000001422845,0.000008002414,0.000003855397,0.000009856091],"domain_scores_gemma":[0.9999273,0.00001510135,0.00002010214,0.000008374737,0.00001407929,0.0000149725],"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":[0.001352151,0.0002939322,0.3433743,0.0001532773,0.0001611183,0.0003132974,0.0002323913,0.009135033,0.6221685,0.0004990282,0.001490262,0.02082665],"study_design_scores_gemma":[0.000004418349,0.00009244228,0.9626753,0.000003326606,0.00001663584,0.00005560283,0.0002703537,0.004267327,0.03129235,0.0001738323,0.001141338,0.000007204615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987999,0.0000350806,0.0001789608,0.00001837181,0.00000199429,0.00000200653,0.0002920417,0.000008395618,0.0006632108],"genre_scores_gemma":[0.9996112,0.00001762854,0.00005023964,0.000005886963,8.210861e-7,0.000002981567,0.0001251158,0.000001909501,0.0001842324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004537831,"threshold_uncertainty_score":0.009022832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722618182617807,"score_gpt":0.3248605719980135,"score_spread":0.2776343901718354,"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."}}