{"id":"W2162098389","doi":"10.5194/bg-11-4443-2014","title":"Assessment on the rates and potentials of soil organic carbon sequestration in agricultural lands in Japan using a process-based model and spatially explicit land-use change inventories – Part 2: Future potentials","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Carbon sequestration; Environmental science; Soil carbon; Agricultural land; Agriculture; Land use, land-use change and forestry; Land use; Stock (firearms); Crop rotation; Climate change; Greenhouse gas; Soil science; Soil water; Carbon dioxide; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009628724,0.0006987506,0.0004400504,0.0004290395,0.0004201853,0.000654545,0.0006599325,0.0006719201,0.0006360991],"category_scores_gemma":[0.001239469,0.000370795,0.0009352705,0.0006093259,0.0004376526,0.00102839,0.0004247277,0.0003996801,0.00005604236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948057,"about_ca_system_score_gemma":0.001268052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08592521,"about_ca_topic_score_gemma":0.04912562,"domain_scores_codex":[0.9997864,0.00008089608,0.00001757519,0.00004568811,0.00002244833,0.00004710668],"domain_scores_gemma":[0.9993737,0.0002744588,0.00008502589,0.00005550375,0.0001486599,0.00006263046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009784831,0.00008953004,0.03075302,0.00003042024,0.00006910439,0.0001350612,0.00004723511,0.9653652,0.00124866,0.0005287711,0.00009210575,0.001543141],"study_design_scores_gemma":[0.00003749223,0.0000705473,0.009471538,0.000003872442,0.00004840749,0.00001345783,0.00008545567,0.9893181,0.0005903516,0.0002254809,0.0001190214,0.00001631823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979755,0.00003535629,0.001126791,0.00004313812,0.000003663419,0.00001228221,0.000148708,0.00001724231,0.0006372522],"genre_scores_gemma":[0.9990267,0.00003515713,0.0007033324,0.00000529896,0.000001413546,0.00001317594,0.0001132474,0.000002286508,0.00009934921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08592521,"threshold_uncertainty_score":0.1708502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406837621861032,"score_gpt":0.2554989942211879,"score_spread":0.2148152320350847,"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."}}