{"id":"W3016341498","doi":"10.1016/j.scitotenv.2020.138767","title":"Greenhouse gas emissions and global warming potential from biofuel cropping systems fertilized with mineral and organic nitrogen sources","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Greenhouse gas; Agronomy; Environmental science; Soil carbon; Nitrous oxide; Manure; Biofuel; Crop yield; Poultry litter; Cropping system; Soil water; Crop; Nutrient; Chemistry; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003515651,0.0004176316,0.0001443737,0.000365101,0.0002061554,0.0005044828,0.0001931551,0.0003876899,0.0017533],"category_scores_gemma":[0.0004346023,0.0001125186,0.0003965756,0.0008049135,0.0002858434,0.0006889809,0.0002174016,0.0002324001,0.0001436893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467918,"about_ca_system_score_gemma":0.0004604799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008679698,"about_ca_topic_score_gemma":0.01475537,"domain_scores_codex":[0.9998829,0.00003300617,0.000006288546,0.00002631813,0.00002335727,0.00002799109],"domain_scores_gemma":[0.9998538,0.00007429572,0.00002741666,0.000005173218,0.00002687425,0.00001239006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01542349,0.0006086669,0.4156177,0.001095233,0.00166229,0.002209393,0.0002728419,0.1827113,0.3057244,0.009650148,0.001717537,0.06330699],"study_design_scores_gemma":[0.000351299,0.001559157,0.785326,0.00006506055,0.0009533355,0.0003414871,0.001304758,0.0696556,0.1187847,0.01266169,0.00891251,0.00008438496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963391,0.0006062933,0.0003662937,0.0001208427,0.00002422556,0.00000514603,0.0006704712,0.000008567115,0.001859011],"genre_scores_gemma":[0.9986796,0.0003014598,0.000121259,0.00001573665,0.000005866346,0.000005841124,0.0003204774,0.000003520058,0.0005463869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008679698,"threshold_uncertainty_score":0.01725835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009676655328457826,"score_gpt":0.1743079631929338,"score_spread":0.164631307864476,"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."}}