{"id":"W4220699961","doi":"10.1007/s13157-022-01546-6","title":"Comparison of Soil Nutrient Supply Patterns among Full and Drained Beaver Ponds and Undisturbed Peat in a Rocky Mountain Fen","year":2022,"lang":"en","type":"article","venue":"Wetlands","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Calgary","funders":"Global Water Futures; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Nutrient; Hydrology (agriculture); Peat; Beaver; Ponding; Ecology; Drainage; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001785326,0.00009930231,0.0002422189,0.00001761056,0.0002227224,0.00001456914,0.00008530203,0.00004805788,0.0001662326],"category_scores_gemma":[0.00001113889,0.00004481644,0.00002523971,0.0001316512,0.00006489339,0.00003663691,0.0001815677,0.0001326511,5.738964e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001816497,"about_ca_system_score_gemma":0.000002324772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009398758,"about_ca_topic_score_gemma":0.02618548,"domain_scores_codex":[0.9992571,0.00008205986,0.0001779036,0.0001955881,0.0001077856,0.0001795006],"domain_scores_gemma":[0.9996696,0.0001806837,0.00006904305,0.00002797038,0.0000113976,0.00004135581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054591,0.00008850782,0.9952335,0.000008440065,0.0000143923,0.000006482967,0.0008080738,0.000006631942,0.002880446,0.00008135018,0.0003455941,0.0004210978],"study_design_scores_gemma":[0.0003714992,0.0004669358,0.9947628,0.000008100542,0.00001148569,0.0000066406,0.002726875,0.0003603292,0.0001122566,0.000150515,0.0009179253,0.0001045982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987791,0.000210875,6.196567e-7,0.0005104057,0.00004618405,0.0001204222,0.0001904149,0.00001153129,0.0001304562],"genre_scores_gemma":[0.9994746,0.00004817162,0.000002537464,0.00005481797,0.00003035215,0.00002637085,0.0001258667,5.790031e-7,0.0002366567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02524561,"threshold_uncertainty_score":0.9915841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293643635261874,"score_gpt":0.2235125344011391,"score_spread":0.2105760980485203,"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."}}