{"id":"W3086284505","doi":"10.1007/s12517-020-05944-0","title":"Estimating future daily pan evaporation for Qatar using the Hargreaves model and statistically downscaled global climate model projections under RCP climate change scenarios","year":2020,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Downscaling; Pan evaporation; Environmental science; Evapotranspiration; Representative Concentration Pathways; Climate change; Evaporation; Coupled model intercomparison project; Climatology; Climate model; Potential evaporation; Arid; Water cycle; Irrigation scheduling; Atmospheric sciences; Meteorology; Geography; Soil water; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00112502,0.0001710096,0.0002299299,0.00002692935,0.0008922797,0.000225718,0.0003258431,0.00006227854,0.00001871332],"category_scores_gemma":[0.0001438361,0.0001140143,0.00008066252,0.0002964298,0.000454423,0.001167441,0.0001588145,0.0001634318,0.00000238931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009909162,"about_ca_system_score_gemma":0.00007619782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006873631,"about_ca_topic_score_gemma":0.0002129386,"domain_scores_codex":[0.9982411,0.00007610612,0.0004948162,0.0003343466,0.0004356448,0.0004179626],"domain_scores_gemma":[0.9991392,0.00008152252,0.0003865088,0.0001313517,0.00006128654,0.0002001112],"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":[0.0001114825,0.00007495732,0.008212744,0.0000577508,0.00001133721,0.000002274182,0.004120898,0.9756691,0.002831328,0.003910781,0.00006102094,0.004936284],"study_design_scores_gemma":[0.0003054488,0.0001868524,0.003064348,0.00003621417,0.00007130473,0.00004291228,0.00115803,0.9820456,0.00001172727,0.01292493,0.00001033671,0.0001423109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367618,0.00004481105,0.3558974,0.006357057,0.0001585809,0.0004360546,0.0002404644,0.00001638097,0.00008747191],"genre_scores_gemma":[0.8555054,0.0000681122,0.1433707,0.0008662887,0.0001657416,0.00001083354,0.000003461747,0.000007773962,0.000001667033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2187436,"threshold_uncertainty_score":0.6862784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0744808401325853,"score_gpt":0.3079562742149484,"score_spread":0.2334754340823631,"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."}}