{"id":"W1902635892","doi":"10.4141/cjss10052","title":"Estimating the impact of manure nitrogen losses on total nitrogen application on agricultural land in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Manure; Environmental science; Agriculture; Fertilizer; Manure management; Agronomy; Nitrogen; Geography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003019335,0.00008997208,0.0001042246,0.00007473501,0.0001534233,0.00002385785,0.000492016,0.00001941889,0.00002677235],"category_scores_gemma":[0.00004880883,0.00004978055,0.00004393232,0.0004586788,0.0002828372,0.0001897923,0.00002041379,0.0001422023,0.000007717133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315083,"about_ca_system_score_gemma":0.0009815301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9743546,"about_ca_topic_score_gemma":0.9244837,"domain_scores_codex":[0.9990122,0.00002080561,0.0002126338,0.000124138,0.0003326036,0.0002976625],"domain_scores_gemma":[0.9993265,0.00002451212,0.0001796476,0.0001307891,0.00003043225,0.0003080973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007500773,0.000009563507,0.952087,9.708546e-7,0.000002294876,0.00001383896,0.0004224429,0.04611534,0.00008733365,0.00001179359,0.00009640264,0.001145487],"study_design_scores_gemma":[0.0001203753,0.0001240519,0.9901683,0.00002610601,0.000003949907,0.00007158615,0.0001910871,0.006479545,0.0009072485,0.001829903,0.000002934936,0.00007486967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978901,0.00001084565,0.000009644463,0.00007675852,0.00009338697,0.00007059136,0.00001139067,0.000001039823,0.001836251],"genre_scores_gemma":[0.9997869,7.383105e-7,0.0001298244,0.0000458168,0.00002628187,0.000001543153,7.197959e-7,0.000003254666,0.000004918574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04987097,"threshold_uncertainty_score":0.3438895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008691771172342678,"score_gpt":0.195900606419099,"score_spread":0.1872088352467563,"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."}}