{"id":"W1920464663","doi":"10.1111/j.1365-2486.2009.01932.x","title":"Nitrous oxide fluxes from corn fields: on‐farm assessment of the amount and timing of nitrogen fertilizer","year":2009,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; University of Guelph","keywords":"Nitrous oxide; Fertilizer; Nitrogen; Human fertilization; Animal science; Flux (metallurgy); Environmental science; Nitrogen fertilizer; Agronomy; Growing season; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004142529,0.0003317992,0.000395714,0.0004414648,0.000461012,0.0003765208,0.0004251066,0.0004284434,0.0002719093],"category_scores_gemma":[0.0004957396,0.0002159647,0.0001931942,0.000362174,0.000268162,0.0002747194,0.0001735883,0.000324094,0.00007307351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436266,"about_ca_system_score_gemma":0.0009025739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06338164,"about_ca_topic_score_gemma":0.1478218,"domain_scores_codex":[0.9996643,0.00003343895,0.00001114291,0.0001223705,0.0001187335,0.00005001251],"domain_scores_gemma":[0.9993599,0.000174653,0.0001523022,0.0000386701,0.0001887147,0.00008583331],"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":[0.001413021,0.0005481697,0.3427546,0.00009660354,0.00007174236,0.0001892874,0.000247316,0.001970737,0.6408507,0.00003008511,0.0001527943,0.01167495],"study_design_scores_gemma":[0.00001921863,0.0007674032,0.9551303,0.000005352935,0.00003244569,0.00003652378,0.0001720066,0.003479803,0.03998704,0.00002134979,0.0003349719,0.00001347537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994486,0.00001906339,0.0001726133,0.000004099974,0.000002240246,0.00001493981,0.0001730083,0.000006064629,0.0001592399],"genre_scores_gemma":[0.9973242,0.00008036316,0.00110271,0.00002228359,0.000004437616,0.00004617875,0.0008288373,0.000008260724,0.0005828149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06338164,"threshold_uncertainty_score":0.1260254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067547989029583,"score_gpt":0.2776316656998584,"score_spread":0.2369561858095625,"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."}}