{"id":"W2930779510","doi":"10.1016/j.foreco.2019.03.020","title":"A mixture of human and climatic effects shapes the 250-year long fire history of a semi-natural pine dominated landscape of Northern Latvia","year":2019,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Fire regime; Disturbance (geology); Fire ecology; Ecology; National park; Geography; Vegetation (pathology); Physical geography; Fire history; Natural (archaeology); Climate change; Environmental science; Ecosystem; Archaeology; 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":[0.0002655924,0.0001047157,0.0002570846,0.00003471243,0.00002993802,0.000002224082,0.0001382515,0.00006171151,0.0001511396],"category_scores_gemma":[0.00001248187,0.00007252148,0.00003451604,0.00006113867,0.0002072437,0.000050333,0.0002140347,0.00007340733,0.0000151018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005576331,"about_ca_system_score_gemma":0.000003086892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001477309,"about_ca_topic_score_gemma":0.003870409,"domain_scores_codex":[0.9993027,0.00008122284,0.0001968294,0.0001729387,0.0001052857,0.0001410522],"domain_scores_gemma":[0.9994892,0.000122387,0.0001899702,0.0001686871,0.000006808608,0.00002291114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006028444,0.00009312411,0.9928905,0.001768563,0.00010753,0.000009990951,0.0007485563,0.00009766602,0.001484219,0.0003150121,0.001191798,0.001232716],"study_design_scores_gemma":[0.0009021159,0.0003988129,0.9929755,0.00009039326,0.00007090045,0.000003339386,0.00006376188,0.004947159,0.00006868545,0.00009580339,0.0003082441,0.00007522682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968469,0.0004826232,0.000003112982,0.00005000832,0.0001426195,0.0007608117,0.000002481272,0.000007969523,0.001703433],"genre_scores_gemma":[0.9987744,0.00003782033,0.00003047008,0.00003559557,0.00000554447,0.00002435392,0.000005758806,0.000007898332,0.001078162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004849493,"threshold_uncertainty_score":0.295734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002023965457583593,"score_gpt":0.1732515413645645,"score_spread":0.1712275759069809,"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."}}