{"id":"W1963887506","doi":"10.1007/s10705-013-9563-z","title":"Simulating the effect of long-term fertilization on maize yield and soil C/N dynamics in northeastern China using DSSAT and CENTURY-based soil model","year":2013,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Natural Science Foundation of China","keywords":"DSSAT; Fertilizer; Soil carbon; Manure; Agronomy; Sowing; Environmental science; Yield (engineering); Amendment; Crop yield; Animal science; Soil water; Soil science; Biology; Materials science","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":[0.0004168173,0.0001946252,0.0002969977,0.00004685508,0.00009984061,0.0000741099,0.0001205581,0.0001332581,0.000002738918],"category_scores_gemma":[0.00008174907,0.00008025791,0.00005690266,0.0002496396,0.00004312658,0.0000856154,0.00005228026,0.0001764046,6.280568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056708,"about_ca_system_score_gemma":0.000005691832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901358,"about_ca_topic_score_gemma":0.01209155,"domain_scores_codex":[0.9986641,0.0001451456,0.0004154729,0.0002928052,0.0002199176,0.0002625282],"domain_scores_gemma":[0.9991024,0.0005341963,0.0001875249,0.00008396894,0.0000296051,0.0000623673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008077698,0.00004893286,0.9107798,0.0001111239,0.000004750654,0.000002184877,0.0001204212,0.07775127,0.007131112,0.0000231622,1.102674e-7,0.003946292],"study_design_scores_gemma":[0.0004566126,0.0001625838,0.1467119,0.0003603375,0.000009052372,0.000002730166,0.0001159322,0.8508891,0.001129501,0.00004287872,8.032551e-8,0.0001193309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988767,0.000166515,0.00007251716,0.00008220903,0.000107601,0.0006217613,0.00001096566,0.00002202957,0.00003968331],"genre_scores_gemma":[0.9998406,0.00002951422,0.000008938256,0.00003021805,0.0000365697,0.00002083629,0.00002643953,0.000003663134,0.000003248508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7731378,"threshold_uncertainty_score":0.674737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415802300891256,"score_gpt":0.2236288099847354,"score_spread":0.2094707869758228,"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."}}