{"id":"W2767640694","doi":"10.1139/cjes-2017-0046","title":"Water budget, performance of evapotranspiration formulations, and their impact on hydrological modeling of a small boreal peatland-dominated watershed","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Evapotranspiration; Environmental science; Watershed; Water balance; Hydrology (agriculture); Eddy covariance; Peat; Ecohydrology; Streamflow; Geology; Ecosystem; Geography; Ecology; Drainage basin","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004688554,0.0006309409,0.0003327004,0.000324395,0.000384007,0.0006129763,0.0009156439,0.000617967,0.00058903],"category_scores_gemma":[0.0008817713,0.0003011097,0.0004381851,0.0003459176,0.0003995855,0.0004047859,0.0002461782,0.0003679368,0.00004480999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002784447,"about_ca_system_score_gemma":0.002552807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4369544,"about_ca_topic_score_gemma":0.4075788,"domain_scores_codex":[0.9998839,0.00003385072,0.000009558803,0.00002753078,0.00001872094,0.00002647392],"domain_scores_gemma":[0.9995628,0.000219174,0.00006442322,0.0000262489,0.00007929211,0.00004801134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005863595,0.00008299688,0.01113684,0.00001640294,0.0000285311,0.00005434303,0.00002917432,0.981141,0.003920792,0.0001900397,0.0001646907,0.003176676],"study_design_scores_gemma":[0.0000126932,0.00001628189,0.00281447,0.00000212161,0.000006542989,0.000004429556,0.00001282597,0.9964628,0.0005852259,0.00002709933,0.00005060664,0.000005017263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951409,0.00007206689,0.003314925,0.00007760977,0.000006311498,0.00001868607,0.0002125096,0.0001107085,0.001046309],"genre_scores_gemma":[0.9958788,0.00004773432,0.00352265,0.00001830436,0.000002536022,0.00001447906,0.0001353386,0.00001726493,0.0003629235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4369544,"threshold_uncertainty_score":0.868822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327005048431978,"score_gpt":0.2326004079939904,"score_spread":0.2093303575096706,"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."}}