{"id":"W3043337265","doi":"","title":"Evapotranspiration and Water Use Efficiency of Canadian Forests and Wetlands","year":2009,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Wetland; Environmental science; Hydrology (agriculture); Forestry; Water use; Water resource management; Agroforestry; Geography; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001771268,0.00006682185,0.00006419193,0.00007823952,0.00008671113,0.00003510395,0.00004094367,0.00004552841,0.000004561584],"category_scores_gemma":[0.00001697699,0.00005327552,0.00001046034,0.00006694066,0.00003715813,0.0001518697,0.00001228663,0.00005924103,0.000005032151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140987,"about_ca_system_score_gemma":0.000004183416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08323481,"about_ca_topic_score_gemma":0.1339165,"domain_scores_codex":[0.9994491,0.000008425698,0.0001390069,0.0001350084,0.00009208581,0.0001763873],"domain_scores_gemma":[0.9997762,0.00001812503,0.00003058458,0.00007307465,0.000004016942,0.00009803287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003827883,0.0000138508,0.866582,0.000006618147,0.00000260728,0.00001098238,0.0004560003,0.07829903,0.05212738,0.00005445188,0.000002399177,0.002440829],"study_design_scores_gemma":[0.0001097786,0.00003078759,0.9802708,0.00002871301,0.000008397649,0.000007947208,0.000002503258,0.01035361,0.008762162,0.00008789078,0.000253198,0.00008419546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955772,0.00001175513,0.00001274814,0.0001240121,0.00001936039,0.00005990521,0.000002339579,0.00001178415,0.004180897],"genre_scores_gemma":[0.9994651,0.00002202528,0.0004250516,0.00003434439,0.000006208529,5.794513e-7,0.00000430221,0.000003624119,0.00003872731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136888,"threshold_uncertainty_score":0.92287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009236312602955151,"score_gpt":0.1853483765626162,"score_spread":0.176112063959661,"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."}}