{"id":"W3048337658","doi":"10.1007/s10980-020-01080-y","title":"Spatial patterns of logging-related disturbance events: a multi-scale analysis on forest management units located in the Brazilian Amazon","year":2020,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Joint Research Centre; University of British Columbia; International Tropical Timber Organization; European Commission; Idea Wild","keywords":"Logging; Disturbance (geology); Forest management; Amazon rainforest; Felling; Context (archaeology); Salvage logging; Environmental science; Spatial ecology; Sustainable forest management; Geography; Forest ecology; Ecology; Forestry; Agroforestry; Ecosystem; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004613846,0.0001699949,0.0003500825,0.002005606,0.0003084842,0.000531361,0.0003221351,0.0001951188,0.0007311674],"category_scores_gemma":[0.002129474,0.0001662477,0.0002374233,0.002713667,0.0003642248,0.0003095513,0.0007057115,0.0001149799,0.00008508338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359787,"about_ca_system_score_gemma":0.0003056713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03548867,"about_ca_topic_score_gemma":0.07117564,"domain_scores_codex":[0.9995338,0.0001031729,0.00005713253,0.0001238591,0.0001099053,0.00007231008],"domain_scores_gemma":[0.9981174,0.0004392466,0.0008684506,0.0001342699,0.0002785316,0.000162105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003053213,0.00002290437,0.9905816,0.00005085381,0.00003333516,0.00008373117,0.001066651,0.000143059,0.001005928,0.00003912178,0.00007337923,0.006868897],"study_design_scores_gemma":[6.960271e-7,0.00001140887,0.9987994,0.000007852395,0.000006875683,0.00005822245,0.0006677695,0.0002827766,0.00003496412,0.00001126852,0.0001168006,0.000001995155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990035,0.0001045151,0.0002163687,0.0000144616,0.000001022837,0.00001580592,0.0002715171,0.000006123928,0.0003666962],"genre_scores_gemma":[0.999391,0.00005133371,0.0002836511,0.000002700865,0.000001296285,0.00001430361,0.0001949139,0.000001797794,0.00005902825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03548867,"threshold_uncertainty_score":0.07056421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102904075994826,"score_gpt":0.1996801504037996,"score_spread":0.1886511096438513,"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."}}