{"id":"W2104831039","doi":"10.1111/ejss.12181","title":"Reducing nitrous oxide emissions from a maize‐wheat sequence by decreasing soil nitrate concentration: effects of split application of pig slurry and dicyandiamide","year":2015,"lang":"en","type":"article","venue":"European Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Universidade Federal de Santa Maria; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Nitrous oxide; Chemistry; Nitrification; Agronomy; Slurry; Nitrogen; Nitrate; Urea; Fertilizer; Animal science; Environmental science; Environmental engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140433,0.0001245042,0.0002310176,0.00002525603,0.0001650144,0.00006717644,0.0003995571,0.00002701473,0.000002556301],"category_scores_gemma":[0.0004794929,0.00005965486,0.0000611934,0.0004861754,0.0005427391,0.0003181552,0.00007956781,0.000148237,0.000001655152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005475118,"about_ca_system_score_gemma":0.0001026679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091415,"about_ca_topic_score_gemma":0.00005536091,"domain_scores_codex":[0.9983126,0.0002406413,0.000478405,0.0002277227,0.0005210205,0.0002196216],"domain_scores_gemma":[0.9984071,0.0002293259,0.0005645466,0.00008294929,0.0003362678,0.0003798447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005256863,0.00004213945,0.01670651,0.000007852497,0.000006724818,0.0000163086,0.0002892171,0.00005909194,0.9652318,0.00005153508,0.00003410784,0.01750216],"study_design_scores_gemma":[0.001575742,0.00127748,0.3421457,0.0008105959,0.0001283837,0.0003125558,0.001604351,0.01996916,0.6296396,0.001863775,0.000160734,0.0005119522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980676,0.0007616712,0.0001487062,0.0001670207,0.00009520564,0.00008408161,0.00001610041,0.0000113798,0.0006482715],"genre_scores_gemma":[0.9988064,0.0001205868,0.0008943623,0.0000645218,0.00009474115,5.89835e-7,0.00000525914,0.000001988026,0.00001159693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3355922,"threshold_uncertainty_score":0.2432655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716028356652021,"score_gpt":0.2268144364431222,"score_spread":0.209654152876602,"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."}}