{"id":"W4409255844","doi":"10.1016/j.jglr.2025.102579","title":"Sedimentary recorded nitrogen-transforming microbes reflect climate fluctuations in a glacial lake on the Qinghai-Tibetan Plateau over a millennium timescale","year":2025,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Plateau (mathematics); Glacial period; Qinghai lake; Environmental science; Climate change; Loess plateau; Physical geography; Sedimentary rock; Oceanography; Hydrology (agriculture); Climatology; Geology; Glacier; Geography; Geomorphology; Soil science; Geochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671538,0.0002551441,0.0002154493,0.0007975051,0.0007929187,0.0007113873,0.0003153777,0.0003510298,0.0009589965],"category_scores_gemma":[0.0003630503,0.0002372242,0.0002178471,0.001126666,0.0004607809,0.0005240666,0.0005924437,0.0001855181,0.00009618667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828443,"about_ca_system_score_gemma":0.0005257048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0769593,"about_ca_topic_score_gemma":0.1200385,"domain_scores_codex":[0.9999279,0.00001008116,0.000007184177,0.000024795,0.000007702911,0.00002234807],"domain_scores_gemma":[0.9997863,0.0000219034,0.00007287047,0.00001002989,0.00005464798,0.00005426037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001547642,0.00003089214,0.9816006,0.00003393505,0.0001087166,0.0001208,0.0008780396,0.0005181617,0.01280396,0.00007573496,0.0001574834,0.003516774],"study_design_scores_gemma":[0.000002495908,0.00001032504,0.9992042,0.000001908758,0.00001140376,0.00001180022,0.0002030598,0.0003965494,0.00007946901,0.00001133222,0.0000646328,0.000002680826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999651,0.00004754329,0.00003382086,0.00001642994,0.000001534106,8.635816e-7,0.0001281688,0.000002388846,0.0001183752],"genre_scores_gemma":[0.9996731,0.00002301264,0.00003690654,0.00001005114,0.000002891331,0.000001591443,0.0001756888,0.000001241069,0.00007551038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0769593,"threshold_uncertainty_score":0.1530227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928322904770443,"score_gpt":0.3326311106507698,"score_spread":0.3033478816030654,"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."}}