{"id":"W3005121287","doi":"10.1111/sum.12580","title":"Soil carbon increases with long‐term cattle stocking in northern temperate grasslands","year":2020,"lang":"en","type":"article","venue":"Soil Use and Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Trent University; University of Alberta","funders":"","keywords":"Soil carbon; Environmental science; Grazing; Stocking; Grassland; Temperate climate; Agronomy; Poa pratensis; Vegetation (pathology); Soil water; Ecology; Animal science; Biology; Soil science; Poaceae","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":[0.00006252519,0.0001379634,0.0001412432,0.00001490349,0.0000666022,0.00009642376,0.00009660891,0.00003618775,0.000007182009],"category_scores_gemma":[0.000005963795,0.00005676734,0.00002851149,0.00022666,0.00002951311,0.00008178583,0.0001018144,0.00007200415,0.000003041108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001858163,"about_ca_system_score_gemma":0.000003833642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697705,"about_ca_topic_score_gemma":0.1105295,"domain_scores_codex":[0.9992194,0.00003343461,0.0001196853,0.000271847,0.0001439618,0.0002117296],"domain_scores_gemma":[0.9997652,0.00002517641,0.00003810762,0.00004643796,0.0000202004,0.0001048642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007178082,0.00004891259,0.9888262,0.00002760404,0.00003276763,0.00006359458,0.0001105553,0.00008145011,0.0005268999,0.00003796026,0.00001204696,0.01016022],"study_design_scores_gemma":[0.000395662,0.0001722958,0.9975508,0.00003771533,0.00003258934,0.000003296178,0.0002845346,0.001000864,0.0001817641,0.00001935504,0.0001326108,0.000188464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983422,0.0001094766,0.000001123778,0.0005063617,0.00001981661,0.0001784755,0.000005806297,0.00005469187,0.0007820674],"genre_scores_gemma":[0.9988,0.000447332,0.000008408006,0.0005527419,0.0000624991,0.00002489127,0.00003694457,0.000002064921,0.00006516727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068318,"threshold_uncertainty_score":0.905701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807124998119928,"score_gpt":0.1976592164921814,"score_spread":0.1795879665109822,"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."}}