{"id":"W2019321367","doi":"10.1175/2010ei321.1","title":"Land Use and Reactive Nitrogen Discharge: Effects of Dietary Choices","year":2010,"lang":"en","type":"article","venue":"Earth Interactions","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acre; Environmental science; Agriculture; Nitrogen; Reactive nitrogen; Production (economics); Quarter (Canadian coin); Sustainable agriculture; Natural (archaeology); Agricultural productivity; Caloric theory; Ecosystem; Land use; Ecology; Biology; Agroforestry; Geography; Chemistry; Economics","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":[0.0006658714,0.0002297292,0.0002531062,0.0002555852,0.000294904,0.0009258064,0.0002997646,0.0006060965,0.005797236],"category_scores_gemma":[0.001981618,0.0001744931,0.000572219,0.0004191677,0.0004282321,0.0004527384,0.0006042574,0.0004622503,0.0004459509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178052,"about_ca_system_score_gemma":0.0003123209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008986673,"about_ca_topic_score_gemma":0.01186513,"domain_scores_codex":[0.9997018,0.000166873,0.000008314761,0.00005198793,0.00002104976,0.00004982875],"domain_scores_gemma":[0.9977037,0.00122389,0.0003922596,0.0001331903,0.0001075121,0.0004394185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01458991,0.002331157,0.9546002,0.00006935034,0.0009208502,0.0004356757,0.0004919671,0.001559225,0.008191563,0.0007369253,0.001081536,0.01499164],"study_design_scores_gemma":[0.00005520626,0.0007374904,0.9957211,0.000006123817,0.0001318252,0.00007269741,0.0003397873,0.001187001,0.0004699715,0.0005700081,0.0006985227,0.00001017983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985201,0.000219725,0.00004615861,0.0001529434,0.000005721161,0.000003244241,0.0001843584,0.000004009207,0.0008636864],"genre_scores_gemma":[0.9981798,0.000099901,0.00007072162,0.00006960214,0.000005600275,0.000005918569,0.0001958419,0.000004689521,0.001367957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008986673,"threshold_uncertainty_score":0.01939368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007993150588892866,"score_gpt":0.2261909430201079,"score_spread":0.2181977924312151,"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."}}