{"id":"W1600825689","doi":"10.1111/j.1746-692x.2007.00050.x","title":"Carbon Sequestration in Agriculture: EU and US Perspectives
La séquestration du carbone en agriculture: perspectives pour l'Europe et les Etats Unis
CO<sub>2</sub>‐Sequestrierung in der Landwirtschaft: Perspektiven für die EU und die USA","year":2007,"lang":"en","type":"article","venue":"EuroChoices","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Guelph","funders":"","keywords":"Carbon sequestration; Kyoto Protocol; Greenhouse gas; Agriculture; European union; Soil carbon; Environmental science; Climate change mitigation; Environmental protection; Natural resource economics; Forestry; Business; Carbon dioxide; Geography; Economics; Soil water; International trade; Soil science; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009081882,0.000465611,0.0003964288,0.0001068432,0.0001970901,0.000252685,0.0002482911,0.0003449011,0.000006991264],"category_scores_gemma":[0.0003233091,0.000238949,0.00009946361,0.0006617612,0.0002136299,0.0004488112,0.0000826011,0.0006669067,0.00000571822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890748,"about_ca_system_score_gemma":0.00005214364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005328931,"about_ca_topic_score_gemma":0.07790206,"domain_scores_codex":[0.997066,0.0007511245,0.0004419881,0.0008067635,0.00041574,0.0005184042],"domain_scores_gemma":[0.9986333,0.0006252677,0.0002298367,0.00009571373,0.0002349942,0.0001808464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001839088,0.0004682313,0.2463575,0.00002781321,0.0000853966,0.0003998966,0.01159482,0.0001092587,0.7352146,0.003382802,0.00003508131,0.002140719],"study_design_scores_gemma":[0.0005412205,0.0002668883,0.9742123,0.00007877404,0.00005679786,0.00004764067,0.01025456,0.0003070515,0.01272037,0.0001220093,0.0008663252,0.0005260364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986146,0.00588469,0.000004151644,0.001964642,0.00007196869,0.0004267221,0.000035662,0.0001121013,0.005354096],"genre_scores_gemma":[0.9942552,0.004869504,0.00007799474,0.0001381232,0.0004315795,0.00002135186,0.0001180274,0.000009041754,0.0000791788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7278548,"threshold_uncertainty_score":0.9744056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106170281403342,"score_gpt":0.2581727959452503,"score_spread":0.2471110931312169,"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."}}