{"id":"W2594042913","doi":"","title":"Towards large scale modelling of wetland water dynamics in northern basins.","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wetland; Scale (ratio); Environmental science; Hydrology (agriculture); Geography; Geology; Environmental resource management; Ecology; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008653819,0.0001295137,0.0002282683,0.00004749385,0.00004485827,0.00001339211,0.0002047956,0.0001030459,0.00003005524],"category_scores_gemma":[0.00002626117,0.0000958883,0.00004154513,0.00009713178,0.000056634,0.0001174305,0.0002325822,0.0001292545,0.0001200831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548246,"about_ca_system_score_gemma":0.00001637794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006898197,"about_ca_topic_score_gemma":0.305502,"domain_scores_codex":[0.9987223,0.0000624762,0.0002926133,0.0002529365,0.0002351836,0.000434565],"domain_scores_gemma":[0.9995905,0.00002051674,0.0000687275,0.0001808624,0.00001862658,0.0001207229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002190753,0.00006825907,0.9649401,0.000006494662,0.000003602192,0.000007955918,0.001232324,0.03284577,0.0002353443,0.000008661338,0.000300774,0.0003288522],"study_design_scores_gemma":[0.002180781,0.0001634447,0.05507137,0.00006503447,0.00002009178,0.00001476482,0.001437442,0.9330277,0.001083673,0.00150941,0.004982619,0.0004436331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554925,0.00003130301,0.001661495,0.0002260799,0.0001158597,0.00009312543,0.0000122406,0.00001949901,0.04234788],"genre_scores_gemma":[0.9980616,0.000011256,0.001484099,0.00005624388,0.00004069497,0.000006122237,0.00003893735,0.00001600511,0.0002850555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9098687,"threshold_uncertainty_score":0.999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705270580958996,"score_gpt":0.2256227608332397,"score_spread":0.2085700550236498,"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."}}