{"id":"W1556542764","doi":"10.4319/lom.2010.8.202","title":"Revisiting the application of open‐channel estimates of denitrification","year":2010,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Cégep Marie-Victorin; Trent University","funders":"","keywords":"Denitrification; Environmental science; STREAMS; Benthic zone; River ecosystem; Channel (broadcasting); Hydrology (agriculture); Ecosystem; Computer science; Nitrogen; Chemistry; Ecology; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004957499,0.0003894525,0.0005840153,0.001026866,0.0005119982,0.001721603,0.001440666,0.0004569181,0.0005379774],"category_scores_gemma":[0.009982514,0.0003887679,0.0005030322,0.0008776055,0.0009425801,0.00250292,0.002380158,0.0007187924,0.00007076414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850738,"about_ca_system_score_gemma":0.002288184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02970012,"about_ca_topic_score_gemma":0.06390595,"domain_scores_codex":[0.9973399,0.0009982951,0.0001800734,0.0004852957,0.0008743752,0.0001220757],"domain_scores_gemma":[0.9952725,0.00278,0.0004907777,0.0004411377,0.0008910811,0.0001246129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004587893,0.0003943252,0.4498544,0.0008207439,0.0004224532,0.0002386698,0.001488056,0.1678102,0.03631204,0.04305728,0.002239254,0.2969037],"study_design_scores_gemma":[0.00009268941,0.0003561823,0.2459346,0.0002287302,0.0001823254,0.0001800387,0.0009971882,0.6511213,0.02886636,0.0554102,0.01644421,0.0001862213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6097394,0.004789127,0.3761657,0.001041204,0.0002255483,0.0001102311,0.0007874522,0.0002524837,0.006888912],"genre_scores_gemma":[0.9321846,0.001723067,0.06457486,0.0001227293,0.00007706222,0.0000582074,0.0003240705,0.00004654599,0.0008888962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02970012,"threshold_uncertainty_score":0.05905443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705107938196726,"score_gpt":0.326617249599049,"score_spread":0.3095661702170817,"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."}}