{"id":"W2325514433","doi":"10.4141/cjss2013-094","title":"Soil organic carbon and land use: Processes and potential in Ontario’s long-term agro-ecosystem research sites","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Soil carbon; Tillage; Plough; Environmental science; Crop rotation; Land use; Soil management; Agroforestry; Land management; Fertilizer; Agronomy; Soil science; Soil water; Forestry; Geography; Ecology; Crop; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002440422,0.000320396,0.0005903359,0.002212329,0.00149846,0.00127357,0.000704506,0.0002461418,0.001008962],"category_scores_gemma":[0.003050821,0.0002912245,0.001001479,0.01117649,0.000802449,0.0007077674,0.0008004885,0.0003137029,0.00008438606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.025174,"about_ca_system_score_gemma":0.03138331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770593,"about_ca_topic_score_gemma":0.9926202,"domain_scores_codex":[0.9990698,0.0001804734,0.0001201938,0.0001605996,0.0003095474,0.0001594856],"domain_scores_gemma":[0.9947231,0.001037321,0.001166323,0.0002173294,0.002544455,0.0003114243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000666152,0.00008047609,0.8306935,0.01618497,0.002677763,0.0006566505,0.008654797,0.000897869,0.003200555,0.001833863,0.007154127,0.1272992],"study_design_scores_gemma":[0.00002543183,0.00005350714,0.9689734,0.001722585,0.001597083,0.00008261221,0.003231804,0.0002004602,0.0004437461,0.0001751603,0.02345136,0.00004296915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215805,0.1360109,0.001510637,0.001513362,0.00009486699,0.0002840566,0.02906059,0.00004997485,0.009895059],"genre_scores_gemma":[0.9471855,0.04023479,0.002640465,0.0002785258,0.00002177157,0.0002083383,0.007116152,0.00002128657,0.002293166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.025174,"threshold_uncertainty_score":0.1826509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666229156129896,"score_gpt":0.2293131971102905,"score_spread":0.2026509055489915,"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."}}