{"id":"W4407383006","doi":"10.1002/ldr.5502","title":"Impacts of Grassland Use Types on Soil Ciliate Communities in the Northeastern Qinghai‐Tibetan Plateau","year":2025,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Grassland; Ciliate; Plateau (mathematics); Environmental science; Loess plateau; Qinghai lake; Physical geography; Geography; Agroforestry; Ecology; Soil science; Biology; Mathematics","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":[0.0002898731,0.00006453347,0.00009228304,0.0000402896,0.0001418815,0.00001524022,0.00010857,0.00003930669,0.0001263685],"category_scores_gemma":[0.00001243511,0.00004220513,0.000008437403,0.00008257815,0.00007479232,0.0000534895,0.00005730692,0.0001044367,0.00001576579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012575,"about_ca_system_score_gemma":0.00001627413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002358935,"about_ca_topic_score_gemma":0.1012749,"domain_scores_codex":[0.9994938,0.0001806312,0.0001241432,0.00005861071,0.00005005785,0.00009278853],"domain_scores_gemma":[0.9996014,0.0002232704,0.00003872852,0.0001179846,0.000004638914,0.00001399067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009230398,0.00008468781,0.9889147,0.00001387873,0.00001416433,8.323503e-7,0.004526096,0.0002155652,0.0003584795,0.0002317902,0.0008685212,0.00467898],"study_design_scores_gemma":[0.0003570221,0.00003798657,0.9855258,0.00002556477,0.000003483363,0.000001149243,0.0005320135,0.00007474024,0.0005506305,0.0002837478,0.01254417,0.00006371488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974917,0.00001893331,0.00004587766,0.0002953401,0.00003123284,0.00007821411,0.000003248963,0.000005067425,0.002030387],"genre_scores_gemma":[0.9988915,0.0000412064,0.0000859889,0.0006506484,0.000001531767,0.000004014215,0.00006561132,0.000001567622,0.0002579263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09891599,"threshold_uncertainty_score":0.9151245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244904654884612,"score_gpt":0.238330298391307,"score_spread":0.2158812518424608,"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."}}