{"id":"W2338190670","doi":"10.1139/cjss-2015-0035","title":"Effect of land management practices and environmental parameters on growing season denitrification rates under dairy crop rotations in Atlantic Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Agriculture and Agri-Food Canada","funders":"","keywords":"Denitrification; Growing season; Agronomy; Crop rotation; Tillage; Environmental science; Manure; Perennial plant; Fertilizer; Manure management; Population; Animal science; Nitrate; Nitrogen; Crop; Chemistry; Biology; Ecology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003555289,0.0001991799,0.0002651484,0.0004078384,0.0008091851,0.0007236825,0.0004595797,0.0001666772,0.0006403725],"category_scores_gemma":[0.0007480379,0.0001580438,0.0002346091,0.0007998191,0.0004669727,0.0001676292,0.0003230048,0.0002361266,0.00009217364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01273303,"about_ca_system_score_gemma":0.008287521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650167,"about_ca_topic_score_gemma":0.9925399,"domain_scores_codex":[0.9996866,0.00002614517,0.00002002886,0.00007227191,0.00009235268,0.000102654],"domain_scores_gemma":[0.9990355,0.0001170855,0.0001796166,0.00003567126,0.0003762048,0.0002559697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005444606,0.00009556465,0.9678969,0.00003459499,0.0000917341,0.0001826898,0.0008408543,0.0005233124,0.0188743,0.0000588896,0.0002609188,0.0105958],"study_design_scores_gemma":[0.000003022083,0.00004336283,0.9984106,0.000003008717,0.000009998764,0.00001471463,0.0005229359,0.0002570105,0.0004215337,0.000006221775,0.0003032482,0.000004320388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994006,0.00005646601,0.00003413896,0.00001747753,0.00000147123,0.000003997205,0.0002405492,0.000002575064,0.0002426886],"genre_scores_gemma":[0.9983526,0.0001347593,0.0001781386,0.00002572458,8.666402e-7,0.000004508675,0.0005053172,0.000004067666,0.0007939909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03498334,"threshold_uncertainty_score":0.09238499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007396756438012458,"score_gpt":0.2134213841001906,"score_spread":0.2060246276621781,"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."}}