{"id":"W2036896898","doi":"10.2134/agronj13.0567","title":"Impact of Nitrogen Rate on Maize Yield and Nitrogen Use Efficiencies in Northeast China","year":2014,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Natural Science Foundation of China; International Plant Nutrition Institute; National Key Research and Development Program of China; Purdue University","keywords":"Agronomy; Nitrogen; Yield (engineering); Grain yield; Field experiment; Human fertilization; Fertilizer; Mathematics; Biomass (ecology); Environmental science; Biology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008536901,0.0003903411,0.0003439001,0.0004422061,0.0002396354,0.0002996569,0.0003336558,0.000175054,0.0002303857],"category_scores_gemma":[0.0005732997,0.0001932467,0.000388743,0.0005685444,0.0003074674,0.0003537116,0.0003505412,0.0001361097,0.00004520575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826552,"about_ca_system_score_gemma":0.0009811233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0595906,"about_ca_topic_score_gemma":0.08589538,"domain_scores_codex":[0.999678,0.00005013865,0.00003552061,0.00009654187,0.00007943272,0.00006037716],"domain_scores_gemma":[0.9996048,0.00006944201,0.0001401834,0.00003910485,0.00008289178,0.0000636825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008244303,0.0001154894,0.6221741,0.0001658719,0.0002513909,0.0006805067,0.0005250913,0.01202301,0.3410635,0.0003212168,0.0002133683,0.0216419],"study_design_scores_gemma":[0.00001213139,0.000127426,0.9873388,0.000002463322,0.00004239838,0.00005121576,0.0001029138,0.004296905,0.007597889,0.00005856575,0.0003548399,0.00001453563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996591,0.00006820437,0.00009986603,0.00001141489,7.241984e-7,0.000001655358,0.00004043103,0.000004642716,0.000114084],"genre_scores_gemma":[0.9994376,0.0001053682,0.0001445564,0.00001385558,8.814404e-7,0.00000459038,0.0001295536,0.000003961709,0.0001596019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0595906,"threshold_uncertainty_score":0.1184875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942995803575757,"score_gpt":0.2205470568135103,"score_spread":0.2011170987777527,"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."}}