{"id":"W3127553941","doi":"10.1111/gcb.15555","title":"Understanding water and energy fluxes in the Amazonia: Lessons from an observation‐model intercomparison","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Natural Environment Research Council; University of Toronto; U.S. Department of Energy; California Institute of Technology; European Commission; Directorate for Biological Sciences; Royal Society; Sight Research UK; Universities Space Research Association; Ecological Society of America; National Aeronautics and Space Administration; Gordon and Betty Moore Foundation","keywords":"Environmental science; Latent heat; Atmospheric sciences; Evapotranspiration; Albedo (alchemy); Amazon rainforest; Sensible heat; Seasonality; Bowen ratio; Climatology; Vegetation (pathology); Dry season; Interception; Canopy interception; Geography; Meteorology; Ecology; Geology; Soil water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649459,0.0005828244,0.0003346181,0.0002078199,0.0002957416,0.000911135,0.00103848,0.0007311964,0.0006090843],"category_scores_gemma":[0.002567557,0.0002574234,0.0005782662,0.0004123543,0.000354571,0.001277128,0.0004859475,0.0004897556,0.00006782392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369842,"about_ca_system_score_gemma":0.001079157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1046533,"about_ca_topic_score_gemma":0.05203918,"domain_scores_codex":[0.9997486,0.00008842941,0.00002229341,0.00008967612,0.00002663329,0.00002434898],"domain_scores_gemma":[0.999176,0.0004398248,0.00009920574,0.0001368188,0.0001089141,0.00003928525],"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":[0.0004605957,0.0007549163,0.4331608,0.0002155931,0.0008217328,0.0002561678,0.000902379,0.4939679,0.01766634,0.003179793,0.00219255,0.04642129],"study_design_scores_gemma":[0.0002704212,0.000156389,0.1405036,0.00005700195,0.0002629969,0.00003858799,0.0005938081,0.8456736,0.006173997,0.002462584,0.003735253,0.00007162613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892555,0.0003654899,0.006278071,0.001233666,0.00003151891,0.00003026692,0.001008181,0.0002318187,0.001565553],"genre_scores_gemma":[0.9966949,0.0001050397,0.00278218,0.00005402341,0.000009522883,0.00001520528,0.0002565187,0.00002279607,0.00005974761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046533,"threshold_uncertainty_score":0.2080883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1614998262169612,"score_gpt":0.2958005331350441,"score_spread":0.1343007069180829,"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."}}