{"id":"W2473750381","doi":"10.1111/1365-2664.12727","title":"Grazing‐induced shifts in community functional composition and soil nutrient availability in Tibetan alpine meadows","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Peking University; Lanzhou University; National Science Foundation","keywords":"Grazing; Specific leaf area; Ecosystem; Nutrient; Biology; Agronomy; Abundance (ecology); Relative species abundance; Biomass (ecology); Plant community; Grassland; Soil carbon; Ecology; Botany; Soil water; Ecological succession","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472546,0.0001832844,0.0001721453,0.0005403813,0.0002635361,0.0003156652,0.0001008859,0.0001865528,0.0005175595],"category_scores_gemma":[0.0003186147,0.00008718882,0.0001590872,0.000314488,0.0002030445,0.0001119687,0.000177997,0.0001323613,0.00004862491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326241,"about_ca_system_score_gemma":0.0001111419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072768,"about_ca_topic_score_gemma":0.0197168,"domain_scores_codex":[0.9999237,0.00002734533,0.000005379497,0.0000170823,0.00001014588,0.00001641393],"domain_scores_gemma":[0.9997724,0.00004023186,0.00007321091,0.00001407752,0.00003291269,0.00006720672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003869099,0.00004741161,0.9519696,0.00002953009,0.0001204846,0.00009924475,0.0003437596,0.0003801555,0.04241924,0.00002420472,0.00004913384,0.004130271],"study_design_scores_gemma":[0.000001151577,0.00001629,0.9996334,6.559125e-7,0.000002475555,0.00001136481,0.00003618074,0.0002101744,0.00006908183,0.000004528468,0.00001385924,8.284397e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998807,0.00002029011,0.00002630723,0.000002214588,3.05278e-7,5.477372e-7,0.00003404382,9.281407e-7,0.00003473498],"genre_scores_gemma":[0.9997963,0.000009586512,0.0000438832,0.00000453256,0.000001097153,0.000002083344,0.00009140663,4.648228e-7,0.00005067653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072768,"threshold_uncertainty_score":0.02133048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361776245299345,"score_gpt":0.2260690085877111,"score_spread":0.2124512461347176,"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."}}