{"id":"W3174562865","doi":"","title":"Data assimilation techniques to improve evapotranspiration estimates","year":2008,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Evapotranspiration; Environmental science; Data assimilation; Assimilation (phonology); Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005753101,0.000489659,0.0003529096,0.0004838285,0.000252237,0.0004529419,0.0003006803,0.0003737456,0.0008243184],"category_scores_gemma":[0.001357194,0.0003134748,0.0005044633,0.0006376915,0.0001398738,0.0006568609,0.0003701542,0.0006181022,0.0003076081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812197,"about_ca_system_score_gemma":0.0005219133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006435278,"about_ca_topic_score_gemma":0.008658757,"domain_scores_codex":[0.999785,0.00003553418,0.00001808676,0.00004632228,0.00009944179,0.00001559522],"domain_scores_gemma":[0.9996439,0.0001367575,0.00002794874,0.00004536464,0.0001408982,0.000005065858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008846894,0.0001231859,0.005905193,0.000330344,0.0001334182,0.00008975738,0.0004394221,0.2614215,0.1194368,0.008472487,0.001389237,0.6021701],"study_design_scores_gemma":[0.00002458851,0.00009821841,0.004936556,0.00003022423,0.00004577828,0.00005172169,0.0000620378,0.927545,0.05422817,0.002245906,0.01069966,0.00003214123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06103307,0.0004318446,0.9345806,0.0001346643,0.00007378573,0.00007253297,0.0001440008,0.0008135371,0.002715886],"genre_scores_gemma":[0.3707119,0.0007614167,0.6247075,0.00006318573,0.00004091277,0.0001339115,0.0003360638,0.0001163115,0.003128712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006435278,"threshold_uncertainty_score":0.01279563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240720839783239,"score_gpt":0.2159966169286485,"score_spread":0.1935894085308161,"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."}}