{"id":"W3045551711","doi":"10.13031/trans.13668","title":"Comparison of RZWQM2 and DNDC Models to Simulate Greenhouse Gas Emissions under Combined Inorganic/Organic Fertilization in a Subsurface-Drained Field","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Manure; Water content; Soil carbon; Fertilizer; Soil water; Environmental engineering; Soil science; Agronomy; Hydrology (agriculture); Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005321492,0.00009690173,0.0001840685,0.00002738815,0.00007048592,0.000006770148,0.0002081518,0.00005998796,0.0001198164],"category_scores_gemma":[0.00001506445,0.0000776827,0.00004350471,0.0005050545,0.0000580103,0.0001200656,0.00004352196,0.0001126811,0.000005535249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003549193,"about_ca_system_score_gemma":0.00000917641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002559164,"about_ca_topic_score_gemma":0.000220426,"domain_scores_codex":[0.9992276,0.00004268617,0.0002731477,0.0001680859,0.0001628789,0.0001256191],"domain_scores_gemma":[0.9995753,0.0000636206,0.00006215044,0.0002024534,0.000009573322,0.00008696045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000225293,0.0002683057,0.110406,0.00002365274,0.00001582611,2.100943e-7,0.006009405,0.8493841,0.03306873,0.00003074577,0.0000503028,0.0005174166],"study_design_scores_gemma":[0.001362213,0.0004237045,0.03697699,0.00005100506,0.00006671639,8.801409e-7,0.000844979,0.9008515,0.053033,0.006162741,0.00001930679,0.0002069902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92244,0.00001024872,0.07431414,0.002872172,0.00003352333,0.0002183061,0.000007156494,0.00002214049,0.000082351],"genre_scores_gemma":[0.9994255,0.00001342427,0.0002764383,0.0002161565,0.000002114624,0.000002825253,0.000001579541,0.00001266763,0.00004924518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07698558,"threshold_uncertainty_score":0.3167809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011598231690717,"score_gpt":0.2523428679866163,"score_spread":0.2222268856697091,"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."}}