{"id":"W3048255474","doi":"10.1038/s41598-020-70224-6","title":"Cumulative impact of cover crops on soil carbon sequestration and profitability in a temperate humid climate","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Agri-Food Innovation Alliance; Mitacs; Grain Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs","keywords":"Environmental science; Soil carbon; Carbon sequestration; Temperate climate; Agroecosystem; Cover crop; Agronomy; Agroforestry; Climate change; Crop yield; Agriculture; Soil water; Ecology; Biology; Soil science; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003755057,0.0001913293,0.0003247599,0.0002476115,0.0002481695,0.0002601502,0.0001708606,0.0001734227,0.00126198],"category_scores_gemma":[0.0003382547,0.00008165953,0.0001635224,0.0002187435,0.0002822552,0.0002893834,0.0003034108,0.0002185121,0.00008180425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457829,"about_ca_system_score_gemma":0.000302098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006433044,"about_ca_topic_score_gemma":0.01037355,"domain_scores_codex":[0.9998631,0.00002780016,0.000008237478,0.00003561244,0.00002624101,0.00003896774],"domain_scores_gemma":[0.9993641,0.0001677307,0.0001379344,0.00004621459,0.00007608845,0.0002079104],"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":[0.008090351,0.001439534,0.2641869,0.0001596143,0.0002112686,0.0006048646,0.0003330785,0.001607581,0.7123109,0.0002890705,0.0002064055,0.01056034],"study_design_scores_gemma":[0.00003066211,0.002196041,0.9829926,0.000003149033,0.00003723078,0.00005785772,0.0002086691,0.001707006,0.012389,0.00006148319,0.0003069996,0.000009312196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998021,0.00001842091,0.00002391754,0.000002720266,0.000001161317,0.000003456948,0.00003438799,0.000001191651,0.000112788],"genre_scores_gemma":[0.9996238,0.00003115511,0.00008669868,0.00001015407,0.000002379526,0.000008313876,0.00009095715,0.000001490354,0.0001450494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006433044,"threshold_uncertainty_score":0.01279122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638149946614405,"score_gpt":0.264642365982825,"score_spread":0.2382608665166809,"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."}}