{"id":"W2086975319","doi":"10.1016/j.rse.2006.01.017","title":"Spatial scaling of evapotranspiration as affected by heterogeneities in vegetation, topography, and soil texture","year":2006,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Evapotranspiration; Remote sensing; Pixel; Environmental science; Land cover; Spatial variability; Watershed; Vegetation (pathology); Soil texture; Scaling; Image resolution; Boreal; Spatial heterogeneity; Soil science; Land use; Soil water; Geology; Computer science; Mathematics; Geometry","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":[0.0004102425,0.0001090072,0.0001746021,0.0004091137,0.0001449182,0.0003863598,0.0001061009,0.0001663922,0.0008613183],"category_scores_gemma":[0.002641324,0.0001833129,0.0002119973,0.0003622596,0.000355934,0.0003771436,0.0002346675,0.000193372,0.0001323193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608935,"about_ca_system_score_gemma":0.0001255904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841318,"about_ca_topic_score_gemma":0.003058799,"domain_scores_codex":[0.9998913,0.00003462822,0.00000740677,0.00003326697,0.00001583898,0.00001760703],"domain_scores_gemma":[0.9976674,0.001341774,0.0003655734,0.0002406384,0.000258638,0.000125924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001052348,0.0001208523,0.8651652,0.00004803933,0.0002212207,0.0004373664,0.0008662288,0.02489897,0.08616868,0.001770503,0.0006327247,0.01861776],"study_design_scores_gemma":[0.000005219973,0.0000236601,0.9880215,0.000001544998,0.00001146732,0.00008888669,0.00007981273,0.01087174,0.0004390546,0.0003624917,0.0000872364,0.000007361263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992054,0.00003937703,0.0003252936,0.00002385897,0.000002420306,0.000001071695,0.00005606861,0.000008932399,0.0003375371],"genre_scores_gemma":[0.9997419,0.00001347681,0.00008689717,0.000003162719,0.000003074532,0.000001066662,0.00005358933,0.000004744128,0.00009213723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002841318,"threshold_uncertainty_score":0.005649507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003661010145026482,"score_gpt":0.183126991454742,"score_spread":0.1794659813097155,"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."}}