{"id":"W2072110340","doi":"10.2166/nh.2011.129","title":"Estimating and validating basin-scale actual evapotranspiration using MODIS images and hydrologic models","year":2012,"lang":"en","type":"article","venue":"Hydrology research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National High-tech Research and Development Program; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Evapotranspiration; Environmental science; Water balance; Scale (ratio); SWAT model; Drainage basin; Hydrological modelling; Structural basin; Water resources; Hydrology (agriculture); Spatial ecology; Remote sensing; Climatology; Geology; Cartography; Geography","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":[0.001873525,0.0004793114,0.0004230086,0.0007808763,0.0003356627,0.000737754,0.0006182533,0.0004950291,0.0003430088],"category_scores_gemma":[0.003594841,0.0003707227,0.0003299561,0.000858845,0.0002866761,0.001320448,0.0004400809,0.0002895402,0.000127717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009834428,"about_ca_system_score_gemma":0.00111278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01593195,"about_ca_topic_score_gemma":0.01939892,"domain_scores_codex":[0.9994092,0.000172137,0.00007440177,0.0001367005,0.0001648347,0.00004270457],"domain_scores_gemma":[0.9989113,0.0003803138,0.000159198,0.0001786792,0.0003245256,0.00004607626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002233976,0.0002831362,0.1260824,0.0001103231,0.0001566005,0.0001982017,0.000254241,0.6915734,0.02623587,0.001437444,0.0007232467,0.1527217],"study_design_scores_gemma":[0.00001862346,0.00002204927,0.02300776,0.000006325023,0.00001124681,0.00002371962,0.00004606604,0.9705819,0.005575448,0.0003220107,0.000370944,0.00001386122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816716,0.0001278996,0.1159544,0.00005513582,0.00001921129,0.00007479401,0.0003439808,0.0008377971,0.0009151183],"genre_scores_gemma":[0.8754601,0.00008720518,0.1235683,0.00001293615,0.000006038231,0.00006667711,0.0004945655,0.0000443708,0.0002597714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01593195,"threshold_uncertainty_score":0.03167844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109604775521926,"score_gpt":0.3476792670916846,"score_spread":0.2380744915697585,"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."}}