{"id":"W4311200927","doi":"10.1007/s00442-022-05305-6","title":"Responses of grassland productivity to mowing intensity and precipitation variability in a temperate steppe","year":2022,"lang":"en","type":"article","venue":"Oecologia","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Inner Mongolia; China Scholarship Council; Inner Mongolia Agricultural University; National Natural Science Foundation of China","keywords":"Forb; Graminoid; Grassland; Agronomy; Biology; Precipitation; Plant community; Steppe; Ecosystem; Growing season; Productivity; Ecology; Environmental science; Species richness; Geography","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":[0.0001999713,0.0001645704,0.0002014737,0.0004161675,0.0002563582,0.0003218251,0.0002223407,0.0002573301,0.0009999383],"category_scores_gemma":[0.000483193,0.0001896583,0.0002057779,0.0003072201,0.0003159615,0.0001748954,0.0003349501,0.0001680511,0.0001427043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326861,"about_ca_system_score_gemma":0.0001606821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225815,"about_ca_topic_score_gemma":0.02327165,"domain_scores_codex":[0.9999288,0.00002230832,0.000004022313,0.00001777618,0.000007377452,0.00001964205],"domain_scores_gemma":[0.9997151,0.0001182253,0.00003670612,0.00001868689,0.00002300921,0.00008820199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001237788,0.0002604914,0.9293796,0.00002767855,0.0002042519,0.000438793,0.0006640728,0.0007370565,0.0634739,0.00006599104,0.00008196943,0.003428452],"study_design_scores_gemma":[0.000004041027,0.00003938841,0.9993388,3.739647e-7,0.000005939064,0.00003465714,0.00009751487,0.000299114,0.0001505214,0.000006737984,0.00002173818,0.000001238243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999367,0.000005268373,0.00001027424,0.000001535907,1.53007e-7,4.927267e-7,0.00001467347,4.739677e-7,0.0000305016],"genre_scores_gemma":[0.9997876,0.00001035118,0.00002896803,0.000005000114,6.31807e-7,0.000001986016,0.00006583314,8.9361e-7,0.00009879879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01225815,"threshold_uncertainty_score":0.02437359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063715980334588,"score_gpt":0.2422216981240717,"score_spread":0.2315845383207258,"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."}}