{"id":"W2154699226","doi":"10.5194/hess-17-2053-2013","title":"Water-use dynamics of a peat swamp forest and a dune forest in Maputaland, South Africa","year":2013,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Water Research Commission","keywords":"Swamp; Wetland; Peat; Water table; Environmental science; Understory; Deciduous; Geography; Water balance; Hydrology (agriculture); Agroforestry; Forestry; Ecology; Geology; Groundwater; Canopy","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":[0.0001061523,0.000234415,0.0001810714,0.0009972545,0.0006414864,0.0005295673,0.0002395391,0.000220393,0.001359763],"category_scores_gemma":[0.0003326303,0.0001497293,0.0001414845,0.001150461,0.0004324239,0.0004940399,0.0005039364,0.0001282703,0.0001426893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009485327,"about_ca_system_score_gemma":0.000423849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05769093,"about_ca_topic_score_gemma":0.1600601,"domain_scores_codex":[0.9999083,0.00001352581,0.000004932377,0.00002101028,0.00001125989,0.00004104574],"domain_scores_gemma":[0.9998165,0.00002847124,0.00005981191,0.000005106097,0.00002501823,0.00006505997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002204773,0.0001264591,0.9669439,0.0001339472,0.00005904183,0.001930884,0.009953865,0.0002072859,0.008676892,0.0002234689,0.0002464848,0.0112773],"study_design_scores_gemma":[0.000002875674,0.00003646472,0.9954674,0.00001086918,0.000006491911,0.0001705183,0.003634418,0.0001960482,0.00008706932,0.00002196644,0.0003624162,0.000003374067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997016,0.00004870892,0.00001109196,0.00001103141,5.873774e-7,0.00000381774,0.00006514144,6.608007e-7,0.0001573118],"genre_scores_gemma":[0.9997002,0.00004843772,0.0000432181,0.000004607953,0.000001017317,0.000005353614,0.00006018516,4.287977e-7,0.0001364705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05769093,"threshold_uncertainty_score":0.1147102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007540067524004273,"score_gpt":0.1681255742610172,"score_spread":0.160585506737013,"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."}}