{"id":"W4313826503","doi":"10.3390/fire6010018","title":"Post-Fire Natural Regeneration Trends in Bolivia: 2001–2021","year":2023,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Normalized Difference Vegetation Index; Geography; Vegetation (pathology); Forestry; Land cover; Vegetation cover; Physical geography; Hectare; Trend analysis; Land use; Environmental science; Environmental protection; Ecology; Climate change; Agriculture; Biology; Archaeology; Mathematics; Statistics; Medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002685597,0.0001284639,0.0001385048,0.00006682939,0.00008765339,0.00003304846,0.0001779911,0.00008875915,0.002165313],"category_scores_gemma":[0.00006426928,0.0001199116,0.00005070001,0.0009289869,0.00003260844,0.000260908,0.0001159273,0.0001528239,0.004666476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077046,"about_ca_system_score_gemma":0.000006566049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572144,"about_ca_topic_score_gemma":0.004188265,"domain_scores_codex":[0.9987986,0.00008621015,0.0001769707,0.0003127833,0.0002681251,0.000357322],"domain_scores_gemma":[0.9995816,0.00003972822,0.0000459944,0.0002620169,0.000004834823,0.00006579918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002349715,0.00008199911,0.05425492,0.00002253726,0.00001075522,0.0002068817,0.001030552,0.001335046,0.04592735,0.000019878,0.3222929,0.5747937],"study_design_scores_gemma":[0.0004163395,0.00009315949,0.7370681,0.00004186925,0.000005389581,0.0000178642,0.00006449257,0.2399271,0.002230062,0.00002828135,0.01979795,0.0003094436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937718,0.0001108958,9.177004e-7,0.00216996,0.0006554418,0.0001234499,0.00001707329,0.00009792116,0.003052523],"genre_scores_gemma":[0.9816355,0.00001689493,0.00004457716,0.0001738552,0.0001425774,0.00003249815,0.0001422549,0.00001904219,0.01779279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6828131,"threshold_uncertainty_score":0.9987469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740964280915977,"score_gpt":0.2255319130352649,"score_spread":0.2181222702261051,"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."}}