{"id":"W4241220952","doi":"10.1093/biosci/biab134","title":"Cross-Site Comparisons of Dryland Ecosystem Response to Climate Change in the US Long-Term Ecological Research Network","year":2021,"lang":"en","type":"review","venue":"BioScience","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; Institute for Biodiversity, Ecosystem Science, and Sustainability; U.S. Department of Agriculture; New Mexico State University; Kansas State University; National Science Foundation","keywords":"Climate change; Ecosystem; Environmental science; Temperate climate; Disturbance (geology); Ecology; Primary production; Arctic; Global warming; Terrestrial ecosystem; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009134635,0.0002459521,0.000790395,0.0001349099,0.0003773181,0.000210567,0.001541624,0.0001540188,0.0002886915],"category_scores_gemma":[0.0001613196,0.0001443769,0.000174324,0.002361726,0.0003825699,0.0001033475,0.001662873,0.0003625074,0.0004830785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270498,"about_ca_system_score_gemma":0.00004007178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008565401,"about_ca_topic_score_gemma":0.001230772,"domain_scores_codex":[0.9950978,0.001729847,0.0005627169,0.0007605869,0.0009088515,0.0009401519],"domain_scores_gemma":[0.9982792,0.0006671625,0.00018,0.0007206159,0.00001545118,0.0001375612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008176881,0.0005406115,0.7658542,0.002629251,0.00001409485,0.0005170561,0.0006862395,0.0002291061,0.000007193312,0.0001417387,0.006469446,0.2228293],"study_design_scores_gemma":[0.00007078356,0.000120016,0.4392532,0.002290087,0.00001537269,0.00001184981,0.00001204029,0.00003032367,2.374517e-7,9.535752e-7,0.5580394,0.0001558491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2003552,0.7929506,0.00001905477,0.0004873773,0.0006180478,0.00340319,0.0001727055,0.00002721647,0.001966561],"genre_scores_gemma":[0.04167798,0.95711,0.0001150104,0.0002867713,0.0001747166,0.0003889248,0.00001719359,0.0000158445,0.000213569],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5515699,"threshold_uncertainty_score":0.6209158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536696792703789,"score_gpt":0.4217964835887275,"score_spread":0.2681268043183486,"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."}}