{"id":"W2623592481","doi":"10.1002/eco.1879","title":"Litter is more effective than forest canopy reducing soil evaporation in Dry Chaco rangelands","year":2017,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Agencia Nacional de Promoción Científica y Tecnológica; Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Universidad de Buenos Aires; Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Lysimeter; Environmental science; Litter; Canopy; Plant litter; Transpiration; Tree canopy; Hydrology (agriculture); Soil water; Agronomy; Ecosystem; Soil science; Ecology; Geology; Botany; Biology","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":[0.0001949114,0.0002278314,0.0003268621,0.0003690958,0.0002137153,0.0004106737,0.0002279676,0.0001494635,0.0008135231],"category_scores_gemma":[0.0004475336,0.0001370514,0.0001363028,0.0002119165,0.0002473119,0.0001897147,0.0002790582,0.0001091358,0.00008061102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255879,"about_ca_system_score_gemma":0.0002096467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009849131,"about_ca_topic_score_gemma":0.03348381,"domain_scores_codex":[0.9998817,0.00002536384,0.00001003105,0.00004280396,0.00001419521,0.00002590597],"domain_scores_gemma":[0.9996738,0.00007178877,0.0001193071,0.00002314917,0.00003762149,0.00007424071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007546947,0.0001793528,0.7981355,0.0002662497,0.0001407504,0.0002513791,0.0002729126,0.0006939357,0.1844273,0.00007473287,0.0001449667,0.01465825],"study_design_scores_gemma":[0.000005810597,0.00009951668,0.9981335,0.000005858561,0.00001415002,0.00004663279,0.00008279875,0.0003238689,0.001082673,0.00001282101,0.0001908008,0.00000156516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995142,0.0001058558,0.00005563266,0.000006191342,0.000001062447,0.000003084133,0.00005259614,0.000005130933,0.0002563062],"genre_scores_gemma":[0.9995438,0.00007300776,0.0001461275,0.00001245072,0.000002371891,0.000006330053,0.0001081338,0.000002444963,0.000105184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009849131,"threshold_uncertainty_score":0.01958358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00503716138969603,"score_gpt":0.2217928000550551,"score_spread":0.2167556386653591,"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."}}