{"id":"W2082449597","doi":"10.2134/jeq2000.00472425002900020033x","title":"Nitrous and Nitrogen Oxide Emissions from Turfgrass Receiving Different Forms of Nitrogen Fertilizer","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Government","keywords":"Fertilizer; Nitrous oxide; Nitrogen; Urea; Human fertilization; Nitrate; Ammonium; Environmental science; Ammonium nitrate; Chemistry; Agronomy; Animal science; Nitrogen fertilizer; Sink (geography); Field experiment; Environmental chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001484074,0.0003099186,0.0003315377,0.0001777216,0.0002137065,0.0002924722,0.0001724454,0.0002276043,0.0002868442],"category_scores_gemma":[0.0001851894,0.0001208106,0.0001866223,0.0001371441,0.0001385588,0.000145516,0.0001071007,0.0002309383,0.00005469307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799343,"about_ca_system_score_gemma":0.0001974448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01489,"about_ca_topic_score_gemma":0.01988965,"domain_scores_codex":[0.9999245,0.00001216222,0.000003484614,0.00002501864,0.00001641525,0.00001835464],"domain_scores_gemma":[0.9998036,0.00004133624,0.00005958103,0.000007615418,0.00003816005,0.00004976919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002114446,0.0002634403,0.1533661,0.00008282191,0.0001082944,0.0001882481,0.0001950964,0.0006189584,0.8379078,0.00002044034,0.00008398949,0.005050272],"study_design_scores_gemma":[0.00002057565,0.001240827,0.9553836,0.000004856651,0.00004774387,0.00005832394,0.0001651764,0.001407796,0.04136681,0.00001857154,0.0002769962,0.000008757644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999853,0.00002604894,0.00002236213,0.000002099393,9.590132e-7,0.00000128084,0.00003809729,0.000001553331,0.00005453547],"genre_scores_gemma":[0.9990028,0.00006488994,0.0001809464,0.00002203512,0.000002447231,0.00000889813,0.0003205466,0.00000204002,0.0003954292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01489,"threshold_uncertainty_score":0.02960664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505263613401295,"score_gpt":0.2462381087335553,"score_spread":0.2311854725995424,"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."}}