{"id":"W4410935172","doi":"10.1016/j.geodrs.2025.e00969","title":"Rodent burrows in chernozems as a paleoarchive of vegetation dynamics: A case study from the central chernozem region of Russia","year":2025,"lang":"en","type":"article","venue":"Geoderma Regional","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Russian Science Foundation","keywords":"Chernozem; Vegetation (pathology); Soil water; Rodent; Environmental science; Hydrology (agriculture); Geology; Physical geography; Ecology; Earth science; Soil science; Forestry; Geography; Biology","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":[0.0001022504,0.000110761,0.0001823134,0.00004668929,0.00007703676,0.000008760384,0.0001507693,0.00003466203,0.00008181722],"category_scores_gemma":[0.00001439947,0.0000784205,0.00006197825,0.0001485562,0.0001520659,0.00006219113,0.00003835923,0.0001099754,0.000006321683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472163,"about_ca_system_score_gemma":0.00003343846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1693075,"about_ca_topic_score_gemma":0.2216823,"domain_scores_codex":[0.9990355,0.0001017204,0.000275893,0.0001987735,0.0002156228,0.0001724506],"domain_scores_gemma":[0.9995198,0.0001684434,0.0001106553,0.0001603377,0.00001014562,0.00003064301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008661379,0.0001112277,0.9788597,0.00001541891,0.00005846642,0.0002408197,0.003145857,0.001766857,0.000004344973,0.00007209688,0.00007419984,0.01556436],"study_design_scores_gemma":[0.0005811173,0.00008139824,0.9737518,0.00004280576,0.00002812092,0.00005344824,0.008468483,0.01540734,0.000007506643,0.001377027,0.0001309044,0.00007008611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958062,0.0006949251,0.00006741734,0.0007257812,0.00007412885,0.0002886079,0.00002229003,0.000005384859,0.002315282],"genre_scores_gemma":[0.9994962,0.0001329762,0.0000336493,0.0001245967,0.00002880769,0.000005025459,0.00006772884,0.000001843382,0.000109206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0523748,"threshold_uncertainty_score":0.8362241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384920620895887,"score_gpt":0.2176305117772883,"score_spread":0.2037813055683294,"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."}}