{"id":"W3010857953","doi":"10.1016/j.geodrs.2020.e00272","title":"Nitrous oxide emissions following split fertilizer application on winter wheat grown on Mollisols of Southern Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"Geoderma Regional","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Lethbridge Research and Development Centre; Alberta Wheat Commission","keywords":"Nitrous oxide; Fertilizer; Agronomy; Sowing; Environmental science; Mollisol; Urea; Nitrification; Ammonium nitrate; Urease; Nitrate; Nitrogen; Ammonium; Chemistry; Soil water; Soil science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003953627,0.000153516,0.0001775324,0.000007361738,0.000107209,0.00001418437,0.0002096065,0.00008018568,0.00008320354],"category_scores_gemma":[0.00003528949,0.00006759674,0.0001631609,0.0001509898,0.00002728899,0.00002714903,0.00003607002,0.0001316518,0.00004286717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004047583,"about_ca_system_score_gemma":0.0000389726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2769175,"about_ca_topic_score_gemma":0.3620104,"domain_scores_codex":[0.9988844,0.00003875129,0.0002039556,0.0002925807,0.000358823,0.0002214498],"domain_scores_gemma":[0.9994538,0.0001793611,0.00007390032,0.00007336962,0.00003744349,0.000182081],"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":[0.003907224,0.00103777,0.2462509,0.00008905683,0.000541858,0.0001421208,0.00214388,0.002430454,0.6248496,0.004629628,0.06343576,0.05054172],"study_design_scores_gemma":[0.003619196,0.001759741,0.7210027,0.0005230899,0.0002951474,0.00008492009,0.005953168,0.08114096,0.03571152,0.003817851,0.1428978,0.003193933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873142,0.00002759124,0.000006627161,0.01103931,0.0000389783,0.0001490285,0.00006338074,0.00002468181,0.001336252],"genre_scores_gemma":[0.9936752,0.000002483582,0.00002205076,0.005566213,0.0001122789,0.00001712068,0.0001468756,0.000002460659,0.00045526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5891381,"threshold_uncertainty_score":0.7278975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174969891650407,"score_gpt":0.2023671138086068,"score_spread":0.1848701246435661,"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."}}