{"id":"W2552446584","doi":"10.1038/nclimate3158","title":"Greenhouse gas emissions intensity of global croplands","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":724,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Environmental science; Emission intensity; Agriculture; Cropping; Peat; Climate change; Fertilizer; Agronomy; Geography; Ecology","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":[0.0001582692,0.00015511,0.0001081345,0.0003325561,0.00008487633,0.0002952911,0.0001042592,0.0001941933,0.00188178],"category_scores_gemma":[0.0002705119,0.00009061694,0.0002562438,0.0006186087,0.0001494852,0.0003395749,0.0002030963,0.0001248813,0.0002399498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927634,"about_ca_system_score_gemma":0.000150605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103645,"about_ca_topic_score_gemma":0.01625285,"domain_scores_codex":[0.9999304,0.00001237554,0.000004818744,0.00001966986,0.00001280929,0.00002001142],"domain_scores_gemma":[0.999869,0.00004063235,0.00003662721,0.00001035968,0.0000274362,0.00001594679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001043378,0.00009849004,0.8664407,0.0001839092,0.0003692713,0.0004020994,0.0004338434,0.02523854,0.07539246,0.003028424,0.002249626,0.02511937],"study_design_scores_gemma":[0.000008413683,0.00003275136,0.9919763,0.000004834817,0.00003519698,0.00006184336,0.0002481094,0.002676483,0.002624067,0.000432699,0.001893475,0.000005891661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948928,0.0002459018,0.0002812446,0.00008301644,0.000004618214,0.000002100128,0.001585879,0.00001318647,0.002891185],"genre_scores_gemma":[0.9980743,0.0001483313,0.000111559,0.00001920223,0.000005402895,0.000003009608,0.0009264679,0.000004704923,0.0007071148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103645,"threshold_uncertainty_score":0.02060837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165547124371717,"score_gpt":0.2351412666073535,"score_spread":0.2234857953636363,"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."}}