{"id":"W2073238403","doi":"10.1007/s10533-005-0684-6","title":"Denitrification and patterns of electron donors and acceptors in eight riparian zones with contrasting hydrogeology","year":2005,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Riparian zone; Denitrification; Nitrate; Groundwater; Water table; Hydrology (agriculture); Riparian forest; Environmental science; Groundwater flow; Hyporheic zone; Geology; Ecology; Chemistry; Aquifer; Nitrogen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002147847,0.0001598849,0.0003277183,0.0008656551,0.0004727785,0.0005462338,0.0003340075,0.0002527276,0.0005149416],"category_scores_gemma":[0.0003463693,0.0002410624,0.0001678303,0.0007108695,0.0007374651,0.0002797375,0.0005804719,0.0001447188,0.00007985632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810745,"about_ca_system_score_gemma":0.0002715906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020106,"about_ca_topic_score_gemma":0.04054188,"domain_scores_codex":[0.9998573,0.00002385405,0.00000969673,0.0000469882,0.00001609779,0.0000460538],"domain_scores_gemma":[0.9997283,0.00006134027,0.00006776662,0.00001094839,0.00005561661,0.00007594948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002421385,0.0001483492,0.8758238,0.00009192148,0.0002250738,0.0004050252,0.002833488,0.0009685368,0.108924,0.0004213948,0.00007380803,0.007663291],"study_design_scores_gemma":[0.00001648977,0.00005197193,0.9976077,0.000002549864,0.00002311609,0.00008586048,0.0005194681,0.0003984249,0.001116509,0.00005146701,0.0001200539,0.000006397691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998316,0.00002086101,0.00002459235,0.000001530399,1.75205e-7,0.000001005625,0.00002837176,8.2449e-7,0.00009115331],"genre_scores_gemma":[0.9996202,0.00002481748,0.00009388966,0.000004162601,5.616195e-7,0.000002669762,0.0001260142,0.000001046338,0.0001266301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.020106,"threshold_uncertainty_score":0.03997797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00246316892437801,"score_gpt":0.1735469413594633,"score_spread":0.1710837724350853,"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."}}