{"id":"W2122318877","doi":"10.1071/rj13038","title":"The response of grassland productivity, soil carbon content and soil respiration rates to different grazing regimes in a desert steppe in northern China","year":2014,"lang":"en","type":"article","venue":"The Rangeland Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Millar College of the Bible","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Grazing; Soil respiration; Environmental science; Agronomy; Soil carbon; Primary production; Steppe; Soil water; Grassland; Productivity; Growing season; Water content; Ecosystem; Soil science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213799,0.0001023093,0.0001712218,0.0000276166,0.0001683933,0.00007338906,0.0001544825,0.00003925623,7.421416e-7],"category_scores_gemma":[0.0003146442,0.00002822137,0.00004057811,0.0001725155,0.00005847998,0.00003985611,0.00004893926,0.0001974808,2.738017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002936238,"about_ca_system_score_gemma":0.000009501487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108344,"about_ca_topic_score_gemma":0.2267441,"domain_scores_codex":[0.9985815,0.0006847091,0.0002350926,0.0001247653,0.0001822353,0.0001917408],"domain_scores_gemma":[0.9992759,0.0004477979,0.0001161309,0.00006254121,0.00004273383,0.00005490322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00154769,0.00003973316,0.9116998,0.000002953167,0.000009046172,0.000002511281,0.0005142851,0.00006933925,0.06387884,0.00001501864,0.00000463286,0.02221621],"study_design_scores_gemma":[0.0004464817,0.0003293189,0.9945829,0.00005125841,0.000006997257,0.00002941809,0.0002976793,0.001295575,0.002039711,0.0007974635,0.00005007478,0.00007312528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937084,0.0004502331,0.000001110643,0.005526611,0.00007646104,0.0001688543,0.000001450211,0.000005053143,0.00006188411],"genre_scores_gemma":[0.9996445,0.000147681,0.00000143946,0.0000254245,0.0001150159,0.000008212848,7.967227e-7,0.000001321887,0.00005567753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2256358,"threshold_uncertainty_score":0.7873658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981102280556565,"score_gpt":0.2230942166462099,"score_spread":0.2032831938406443,"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."}}