{"id":"W2096206362","doi":"10.1061/(asce)0733-9437(2005)131:1(24)","title":"Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration","year":2005,"lang":"en","type":"article","venue":"Journal of Irrigation and Drainage Engineering","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Evapotranspiration; Crop coefficient; Water balance; Environmental science; Irrigation; Hydrology (agriculture); Precipitation; Soil science; Meteorology; Agronomy; Geography; Geology; Ecology","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":[0.002158074,0.0003496012,0.0002758506,0.0004259753,0.0001482714,0.0005384071,0.0002905584,0.0002826985,0.0008004066],"category_scores_gemma":[0.005089653,0.0001923001,0.0003913899,0.000491656,0.0001266873,0.0006327173,0.0004605148,0.0002981085,0.0003278774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003067553,"about_ca_system_score_gemma":0.0004758622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009849638,"about_ca_topic_score_gemma":0.01097541,"domain_scores_codex":[0.9993404,0.000170736,0.00004974561,0.0002535034,0.0001283783,0.00005712082],"domain_scores_gemma":[0.9978784,0.001198013,0.0002526955,0.000229322,0.0003581766,0.00008341592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006331765,0.0001277591,0.5055069,0.0000876214,0.0002267359,0.00009827629,0.0001788501,0.3905995,0.01188089,0.0007080814,0.002123042,0.08782911],"study_design_scores_gemma":[0.00002391917,0.0001358299,0.2210525,0.00002242845,0.00003776686,0.00005377853,0.00008734345,0.7710292,0.005892008,0.0004333138,0.001201663,0.00003027028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835833,0.00009675217,0.01336269,0.00003490081,0.00001234308,0.00001529257,0.00102523,0.000391272,0.001478291],"genre_scores_gemma":[0.9946753,0.00002779728,0.004048925,0.000005848684,0.000001441889,0.00001068562,0.0009702847,0.00002910248,0.0002306222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009849638,"threshold_uncertainty_score":0.0195846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120949932404387,"score_gpt":0.2350873095904212,"score_spread":0.2138778102663773,"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."}}