{"id":"W107537189","doi":"10.1016/b978-0-12-394276-0.00003-2","title":"Greenhouse Gas Mitigation with Agricultural Land Management Activities in the United States—A Side-by-Side Comparison of Biophysical Potential","year":2012,"lang":"en","type":"book-chapter","venue":"Advances in agronomy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Agriculture; Environmental science; Natural resource economics; Business; Agricultural management; Land use; Land management; Agricultural land; Environmental resource management; Environmental planning; Engineering; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009839747,0.0002766626,0.0003489859,0.00004367138,0.00005652108,0.00003269571,0.0002632788,0.0001171934,0.00002797644],"category_scores_gemma":[0.000001454614,0.00009770517,0.00008576652,0.0001511803,0.0001805474,0.0002334772,0.00005771063,0.000271184,0.000004739299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006140243,"about_ca_system_score_gemma":0.000003692423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672024,"about_ca_topic_score_gemma":0.004948298,"domain_scores_codex":[0.9988009,0.00005951053,0.0003183699,0.0002620863,0.0002953549,0.0002637842],"domain_scores_gemma":[0.9994307,0.0001527527,0.0002631052,0.00007944814,0.00003041919,0.00004359853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002144707,0.003165565,0.1438997,0.0007533501,0.0008171338,0.0001839368,0.005648038,0.01482568,0.006997644,0.06617559,0.001785556,0.7536032],"study_design_scores_gemma":[0.006450689,0.004643679,0.5011995,0.002878951,0.001161278,0.00009601585,0.03423906,0.005241853,0.005391805,0.03330198,0.3987953,0.006599831],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812267,0.001187306,0.000006357532,0.0001620058,0.00005207273,0.0004994562,0.00006413714,0.00002257254,0.01677933],"genre_scores_gemma":[0.9957106,0.001277648,0.00008715359,0.00005833025,0.000105329,0.00003659859,0.001215943,0.000003448986,0.001504983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7470033,"threshold_uncertainty_score":0.3984301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009321437013223972,"score_gpt":0.2168489987162563,"score_spread":0.2075275617030324,"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."}}