{"id":"W2004672438","doi":"10.1007/s10705-013-9579-4","title":"Quantification of nitrogen inputs from biological nitrogen fixation to whole farm nitrogen budgets of two dairy farms in Atlantic Canada","year":2013,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forage; Legume; Agronomy; Red Clover; Nitrogen fixation; Environmental science; Dry matter; Nitrogen; Biomass (ecology); Fodder; Crop; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926598,0.0002115869,0.0005542302,0.0000883524,0.00005642091,0.00002092641,0.0003389424,0.0001479022,0.00005408044],"category_scores_gemma":[0.000154828,0.0001079731,0.00009383426,0.0006269842,0.00004757451,0.00008590995,0.00007874148,0.0001391016,0.00003664367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374691,"about_ca_system_score_gemma":0.00003848268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4446736,"about_ca_topic_score_gemma":0.3394953,"domain_scores_codex":[0.9976204,0.0002931879,0.0009635665,0.0004760464,0.0002725045,0.0003743191],"domain_scores_gemma":[0.9987171,0.0004341209,0.0004023386,0.0001306198,0.0001896533,0.0001261869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004984816,0.0001994986,0.512576,0.00001712883,0.000008692644,0.000002057905,0.0000661871,0.00006757255,0.4862303,0.000123121,0.00009713845,0.0005625391],"study_design_scores_gemma":[0.001496455,0.0004700689,0.7616819,0.000475027,0.0000151495,0.000004715195,0.001141863,0.001250601,0.2163131,0.01475467,0.001877018,0.0005194441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977182,0.0001991195,0.00003098606,0.0006634746,0.0002117187,0.0009002585,0.0001924917,0.00002327123,0.00006044947],"genre_scores_gemma":[0.9987912,0.00004111907,0.00008665962,0.0001439388,0.0001104854,0.0001333966,0.0006873392,0.000002599817,0.000003238472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699172,"threshold_uncertainty_score":0.6725572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342741648126524,"score_gpt":0.2371064741582682,"score_spread":0.213679057677003,"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."}}