{"id":"W4402490360","doi":"10.5194/essd-16-3993-2024","title":"Satellite-based near-real-time global daily terrestrial evapotranspiration estimates","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Evapotranspiration; Satellite; Environmental science; Remote sensing; Climatology; 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":[0.0003007626,0.0003330809,0.0001774344,0.0006215655,0.00009214815,0.0003838483,0.0002186701,0.0002262794,0.001183179],"category_scores_gemma":[0.0007328542,0.00009214762,0.0002205569,0.0006164849,0.00008144147,0.0006592802,0.0001909082,0.0001499743,0.000514593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293142,"about_ca_system_score_gemma":0.0002340836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006335285,"about_ca_topic_score_gemma":0.01228377,"domain_scores_codex":[0.9998537,0.00002597917,0.00001161071,0.00005034186,0.00004862285,0.000009691295],"domain_scores_gemma":[0.9997975,0.00003073403,0.0000295096,0.00003953696,0.00009502686,0.000007628929],"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":[0.0003948949,0.0002160732,0.2104265,0.0003399907,0.0004854293,0.0001241275,0.0001866129,0.382187,0.05616951,0.001916758,0.009557942,0.3379951],"study_design_scores_gemma":[0.00006554948,0.00009576101,0.2978594,0.00005854423,0.0000947026,0.0001019079,0.0001413528,0.6644189,0.02390024,0.00131493,0.01188977,0.00005900672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211459,0.000616868,0.05929864,0.00009249141,0.00006982557,0.00003936339,0.009482116,0.001717883,0.007536852],"genre_scores_gemma":[0.9710082,0.0001167423,0.02252613,0.0000205942,0.00001160091,0.00001332707,0.005366135,0.0000463912,0.0008909354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006335285,"threshold_uncertainty_score":0.01259685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811680813422318,"score_gpt":0.2535486420269492,"score_spread":0.235431833892726,"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."}}