{"id":"W3192796424","doi":"10.1002/eco.2335","title":"Ecohydrological interactions in a boreal fen–swamp complex, Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Swamp; Peat; Wetland; Water table; Bog; Hydrology (agriculture); Environmental science; Vegetation (pathology); Boreal; Groundwater; Hydraulic conductivity; Geology; Ecology; Soil science; Soil water; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003253579,0.0001844663,0.0002218397,0.001565356,0.00222014,0.0009609798,0.0007412258,0.0002166141,0.0009777341],"category_scores_gemma":[0.0008261607,0.0001907682,0.0001277576,0.001949338,0.0009002832,0.0002589476,0.0006348505,0.0002038504,0.00009959754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01402043,"about_ca_system_score_gemma":0.009442165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853241,"about_ca_topic_score_gemma":0.9966678,"domain_scores_codex":[0.9996703,0.00003589752,0.00001308284,0.00006278535,0.00009213564,0.0001258523],"domain_scores_gemma":[0.9991928,0.0000698486,0.000102612,0.00002866614,0.0004015449,0.0002046838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008702689,0.00006717422,0.9776918,0.00002788228,0.00002779531,0.0006344172,0.004562258,0.000406692,0.00312422,0.0002425836,0.0006279542,0.01250024],"study_design_scores_gemma":[0.000001364073,0.00001172858,0.9946465,0.000005879463,0.000004120414,0.00007167121,0.003774618,0.0003540369,0.000111698,0.00002469105,0.0009891833,0.000004471887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986725,0.00006178607,0.00006577357,0.00002955689,0.000001007318,0.00001365756,0.0002296965,0.000005755062,0.0009204312],"genre_scores_gemma":[0.9981159,0.00007723801,0.0003678101,0.00002409185,9.977207e-7,0.00001002347,0.0003497254,0.000002916355,0.001051516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467592,"threshold_uncertainty_score":0.1017258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308004084558932,"score_gpt":0.2332519330137056,"score_spread":0.2201718921681163,"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."}}