{"id":"W3213063833","doi":"10.5751/ace-01999-160222","title":"Fire regimes shape biodiversity: responses of avian guilds to burned forests in Andean temperate ecosystems of southern Chile","year":2021,"lang":"en","type":"article","venue":"Avian Conservation and Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; U.S. Forest Service; Agencia Nacional de Investigación y Desarrollo; Ministerio de Educación, Gobierno de Chile","keywords":"Biodiversity; Temperate rainforest; Ecology; Geography; Temperate forest; Ecosystem; Biodiversity conservation; Temperate climate; Forest ecology; Fire ecology; Fire regime; Agroforestry; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004141302,0.0001113233,0.00030103,0.00008156037,0.0000667887,0.00001241065,0.0001249377,0.0001181563,0.0007987464],"category_scores_gemma":[0.000238562,0.000114226,0.0000347239,0.0003268909,0.00009958446,0.00009326851,0.0001394499,0.00006228793,0.0001547657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006426141,"about_ca_system_score_gemma":0.0000386479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089854,"about_ca_topic_score_gemma":0.04200589,"domain_scores_codex":[0.9987953,0.000272513,0.0003409499,0.0002878432,0.0001126094,0.0001907797],"domain_scores_gemma":[0.999309,0.0001974747,0.0001582607,0.0002232008,0.00003224746,0.00007981408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008544821,0.00005796449,0.9893936,0.00004564072,0.00001256138,0.0000208407,0.0009408884,0.00002168943,0.007308562,0.00001726493,0.001140638,0.0009549203],"study_design_scores_gemma":[0.0006855904,0.0002006447,0.9908031,0.00005597716,0.000009586327,0.00002154487,0.0006172158,0.003035864,0.002694444,0.00004497447,0.00170666,0.0001243542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967824,0.0000381674,0.000002760117,0.00236157,0.0001352747,0.000297242,0.00008196032,0.00001462999,0.0002860264],"genre_scores_gemma":[0.9985061,0.00001071148,0.000095656,0.0006120662,0.000008310548,0.0000123497,0.00002425615,0.000006601051,0.000723939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03891603,"threshold_uncertainty_score":0.975475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208266640158203,"score_gpt":0.2155618274134007,"score_spread":0.2034791610118187,"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."}}