{"id":"W2887176200","doi":"10.13031/aim.201801588","title":"&amp;lt;i&amp;gt;Comparison of RZWQM2 and DNDC model in simulating greenhouse gas emission, crop yield and subsurface drainage&amp;lt;/i&amp;gt;","year":2018,"lang":"en","type":"article","venue":"2018 Detroit, Michigan July 29 - August 1, 2018","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Environmental science; Irrigation; Manure; Greenhouse gas; Water content; Crop yield; Soil water; Agronomy; Environmental engineering; Hydrology (agriculture); Soil science; Ecology; Geotechnical engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006001745,0.0006608007,0.0004876254,0.0002035442,0.0002160538,0.0004134335,0.0009119491,0.0005276383,0.001304166],"category_scores_gemma":[0.0006164552,0.000249344,0.0004458778,0.0002663659,0.0001872444,0.0004258385,0.0002601591,0.0004409632,0.0002289025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117548,"about_ca_system_score_gemma":0.001305329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131491,"about_ca_topic_score_gemma":0.08234731,"domain_scores_codex":[0.9998659,0.00003576409,0.00001028439,0.00003095183,0.00003397074,0.00002320703],"domain_scores_gemma":[0.9997078,0.0001120896,0.00002577987,0.00002543044,0.0001057741,0.00002316488],"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":[0.0002706834,0.0001715345,0.007174606,0.00008883619,0.00004143985,0.00005704008,0.0000350694,0.9690825,0.006765653,0.0004378702,0.0005761597,0.01529851],"study_design_scores_gemma":[0.00003398351,0.00004251303,0.0009019685,0.000001565814,0.000006914309,0.000001924019,0.00000813233,0.9973339,0.001414969,0.00003537388,0.0002145392,0.000004243475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573011,0.0001730075,0.03240588,0.000230153,0.00004770666,0.0001271009,0.00121676,0.001523996,0.006974446],"genre_scores_gemma":[0.9844589,0.00007425658,0.01304727,0.00004430558,0.000004213972,0.00007018888,0.0007344811,0.00005638754,0.001509932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131491,"threshold_uncertainty_score":0.224981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036101930632519,"score_gpt":0.2617202137075924,"score_spread":0.2313591944012671,"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."}}