{"id":"W4414669481","doi":"10.5194/egusphere-2025-4252","title":"Technical note: How well do evapotranspiration partitioning approaches perform in moss-covered wetlands?","year":2025,"lang":"en","type":"article","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Canada First Research Excellence Fund; Global Water Futures; Alberta Innovates; University of Waterloo","keywords":"Evapotranspiration; Eddy covariance; Transpiration; Flux (metallurgy); Carbon flux; Precipitation; Climate change; Evaporation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0208416,0.0007072617,0.0005093543,0.0007323159,0.001052847,0.002367864,0.00165754,0.001031991,0.001817816],"category_scores_gemma":[0.05567898,0.0002680754,0.0006554739,0.001278491,0.0008947439,0.002574064,0.001154361,0.001107515,0.001539525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778148,"about_ca_system_score_gemma":0.002416001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04814422,"about_ca_topic_score_gemma":0.09487081,"domain_scores_codex":[0.9937295,0.002375606,0.0004761136,0.001165006,0.001976725,0.0002771128],"domain_scores_gemma":[0.9711783,0.008992475,0.001852842,0.002962799,0.01443563,0.0005778632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005073216,0.0001111474,0.2631678,0.001853964,0.0007302792,0.0005349541,0.00274312,0.01506934,0.03953052,0.005201601,0.04425474,0.6262953],"study_design_scores_gemma":[0.0001254415,0.0008799146,0.5321266,0.002518355,0.0008429918,0.002380562,0.00766734,0.1368231,0.09729604,0.02298465,0.195673,0.000681883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4584565,0.02514575,0.4271201,0.04750913,0.005671638,0.0008564674,0.005962254,0.002416761,0.02686138],"genre_scores_gemma":[0.7486044,0.006274078,0.2323898,0.004191829,0.0008691318,0.0003063584,0.00196709,0.0006362281,0.004761042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04814422,"threshold_uncertainty_score":0.1102222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778167646862783,"score_gpt":0.2346566013565946,"score_spread":0.2168749248879667,"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."}}