{"id":"W2971829991","doi":"10.1080/17583004.2019.1633231","title":"Quantifying carbon for agricultural soil management: from the current status toward a global soil information system","year":2019,"lang":"en","type":"article","venue":"Carbon Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture and Agri-Food Canada","funders":"Natural Resources Conservation Service; National Institute of Food and Agriculture; NASA Harvest; Nuclear Safety and Security Commission; TomKat Foundation; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Environmental science; Soil carbon; Carbon sequestration; Edaphic; Agriculture; Environmental resource management; Land management; Soil water; Soil science; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002548996,0.0002989638,0.0002586742,0.00001834983,0.0001421367,0.0002459055,0.0004728238,0.00007464098,0.000009589148],"category_scores_gemma":[0.000007374784,0.0001153163,0.0001982571,0.000433917,0.00002930432,0.0001570864,0.0002926879,0.0001276879,0.00004074086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389559,"about_ca_system_score_gemma":0.000006190156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020081,"about_ca_topic_score_gemma":0.0006481802,"domain_scores_codex":[0.9980431,0.00007363041,0.0004139154,0.0003923594,0.0004987853,0.0005782451],"domain_scores_gemma":[0.9993291,0.00007065343,0.0002134659,0.0001888225,0.00008738592,0.0001105878],"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":[0.0005807684,0.000218132,0.1148195,0.001735101,0.001150794,0.00001792408,0.001206638,0.001691447,0.0007499681,0.09455808,0.001408381,0.7818633],"study_design_scores_gemma":[0.002296612,0.0002430396,0.8631011,0.0004573007,0.0005900684,0.000004110757,0.02412267,0.07424016,0.0001519884,0.0008733,0.03272992,0.001189757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684128,0.0004969886,0.00001453,0.0003611674,0.001509156,0.001551505,0.0001489969,0.0002115995,0.02729332],"genre_scores_gemma":[0.9986022,0.0001611509,0.00005685097,0.0001866501,0.0002318505,0.0002107391,0.0004511032,0.00000232344,0.00009716432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7806735,"threshold_uncertainty_score":0.4702463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211227225209764,"score_gpt":0.2271645901726993,"score_spread":0.2050523179206016,"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."}}