{"id":"W4392230529","doi":"10.1007/s42452-024-05743-2","title":"Predicting dynamics of wildfire regimes in Yunnan, China","year":2024,"lang":"en","type":"article","venue":"Discover Applied Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southwest Forestry University; National Forestry and Grassland Administration; National Natural Science Foundation of China; Northwestern University","keywords":"China; Geography; Dynamics (music); Climatology; Environmental science; Economic geography; Meteorology; Physical geography; Geology; Physics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008402112,0.0001304763,0.0001675095,0.00008806061,0.00009377216,0.0000982889,0.0004254922,0.00004818468,0.0001165836],"category_scores_gemma":[0.00002388516,0.000100848,0.00004301713,0.001013446,0.0005084771,0.000433615,0.0001713398,0.0001262433,0.0001044536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538521,"about_ca_system_score_gemma":0.00003577252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805761,"about_ca_topic_score_gemma":0.001339651,"domain_scores_codex":[0.9984585,0.00003025956,0.000254359,0.0004630749,0.0004969451,0.0002968367],"domain_scores_gemma":[0.9996118,0.0001009441,0.00006328711,0.0001786386,7.888177e-7,0.00004456487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002256041,0.000151422,0.888052,0.0002211985,0.00001903766,0.00002872607,0.005629199,0.00961128,0.01243702,0.03257915,0.001104624,0.05014371],"study_design_scores_gemma":[0.0002421035,0.0001357555,0.2743382,0.0003158962,0.00001405281,0.00001272061,0.001290253,0.7126549,0.003756066,0.00605927,0.0007700342,0.0004107672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959343,0.0001087665,0.000194365,0.0002060861,0.0002614402,0.0002365027,0.000009643657,0.00005288064,0.102996],"genre_scores_gemma":[0.9994183,0.000007305857,0.0002106227,0.00002142225,0.00002610813,0.00002442388,0.000003192301,0.00001034096,0.0002783325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7030436,"threshold_uncertainty_score":0.4112461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004612048464047162,"score_gpt":0.2180427065564642,"score_spread":0.213430658092417,"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."}}