{"id":"W4403995116","doi":"10.1016/j.scitotenv.2024.177211","title":"Improved nitrogen fertilizer management reduces nitrous oxide emissions in a northern Prairie cropland","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Wheat Development Commission; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan","keywords":"Nitrous oxide; Arable land; Environmental science; Nitrogen; Agronomy; Fertilizer; Nitrogen fertilizer; Agriculture; Chemistry; Ecology; 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":[0.0005272942,0.000187799,0.0002232002,0.0001820301,0.0006587518,0.0004299319,0.0006644362,0.00023278,0.000453073],"category_scores_gemma":[0.0005373322,0.0001517483,0.0001971615,0.0002275314,0.0003769265,0.0003410254,0.0002323166,0.0003365284,0.00006412565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295339,"about_ca_system_score_gemma":0.001090521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07220613,"about_ca_topic_score_gemma":0.230752,"domain_scores_codex":[0.9998054,0.00003969031,0.00001154792,0.00007443815,0.00003187054,0.00003707703],"domain_scores_gemma":[0.9997579,0.00004615989,0.00006823961,0.00002407239,0.00003634076,0.00006716],"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":[0.00302715,0.003605935,0.1526457,0.0001341013,0.0001558567,0.0008595624,0.001288398,0.003407145,0.8030205,0.000313665,0.0003884296,0.03115344],"study_design_scores_gemma":[0.0001230515,0.004701248,0.9459488,0.0000153537,0.00007709248,0.0002135248,0.001433783,0.009862903,0.03571105,0.00020301,0.001687078,0.00002303035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997912,0.00001138648,0.00006054492,0.00001155038,0.000001181842,0.000004285234,0.00000893681,0.000001710623,0.0001092006],"genre_scores_gemma":[0.9982065,0.00005293169,0.001088747,0.00002357649,0.000001442775,0.00001030486,0.00007678648,0.00000292994,0.0005368375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07220613,"threshold_uncertainty_score":0.1435717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00866200392641958,"score_gpt":0.1996167508355228,"score_spread":0.1909547469091032,"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."}}