{"id":"W3099483334","doi":"10.3390/agronomy10111781","title":"Adaptive Multi-Paddock Grazing Lowers Soil Greenhouse Gas Emission Potential by Altering Extracellular Enzyme Activity","year":2020,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agriculture and Agri-Food Canada","keywords":"Grazing; Q10; Soil water; Nitrous oxide; Environmental science; Greenhouse gas; Agronomy; Water content; Moisture; Biomass (ecology); Carbon dioxide; Incubation; Chemistry; Animal science; Environmental chemistry; Soil science; Ecology; Biology; Botany; Respiration","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009182182,0.0002146213,0.0002000508,0.000007326695,0.0002055622,0.00006972545,0.0002327003,0.0001137086,0.0001383594],"category_scores_gemma":[0.00002268096,0.0001033891,0.0001652693,0.000167243,0.00005219229,0.0002011693,0.0001325936,0.0002105797,0.00004519055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004267722,"about_ca_system_score_gemma":0.00001028393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008764379,"about_ca_topic_score_gemma":0.0002435752,"domain_scores_codex":[0.9987814,0.00007454388,0.0001699289,0.0004323052,0.0001824412,0.0003593203],"domain_scores_gemma":[0.9994607,0.00005704215,0.0001011081,0.00005885179,0.00003055525,0.0002917351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001230862,0.0001107037,0.002658327,0.000005561901,0.00003093525,0.00002929878,0.0001281198,0.0001512716,0.945782,0.00000678287,0.0009050684,0.05006881],"study_design_scores_gemma":[0.002050322,0.001296354,0.02741396,0.0000794588,0.0001345052,0.00003198388,0.001677512,0.4805901,0.4711127,0.0001258187,0.01357592,0.001911395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974084,0.0002738151,0.000869038,0.0008504568,0.00008922105,0.0001711245,0.00002443897,0.0001515364,0.0001619496],"genre_scores_gemma":[0.9989997,0.00003723714,0.0003459387,0.0001817887,0.0002120127,0.00001129988,0.00003429228,0.000003480936,0.0001742967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4804388,"threshold_uncertainty_score":0.4216084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176235421818721,"score_gpt":0.20624676776004,"score_spread":0.1844844135418528,"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."}}