{"id":"W2184252552","doi":"10.1016/b978-0-12-384719-5.00354-3","title":"Neotropical Seasonally Dry Forests","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography; Threatened species; Biodiversity; Tropical and subtropical dry broadleaf forests; Deforestation (computer science); Climate change; Edaphic; Ecology; Context (archaeology); Endemism; Agroforestry; Forestry; Environmental science; Biology; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006238441,0.0001897891,0.00006042631,0.0001603628,0.0002471009,0.000659862,0.0001827464,0.0001246761,0.01751157],"category_scores_gemma":[0.00006626709,0.0000545465,0.00003551826,0.000270316,0.0002606137,0.0003333932,0.0003711893,0.0002053577,0.002740384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287792,"about_ca_system_score_gemma":0.0003103725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570708,"about_ca_topic_score_gemma":0.06679033,"domain_scores_codex":[0.999988,0.000001147143,4.25139e-7,0.000003256797,0.000003731726,0.000003478172],"domain_scores_gemma":[0.9999858,0.000002421285,0.000002213603,0.000001594917,0.000003496272,0.000004441484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003419052,0.00002732653,0.0107794,0.0002168292,0.00001018375,0.0003781891,0.001107898,0.0008219088,0.006579564,0.02747718,0.07849506,0.8740722],"study_design_scores_gemma":[0.000002571331,0.00000670354,0.03523291,0.00008432153,0.000004247215,0.0003158777,0.0004587058,0.0002079091,0.0002762209,0.005878867,0.957528,0.000003572045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06342008,0.01695819,0.002405404,0.001162222,0.0002527063,0.0000276166,0.000598782,0.00024278,0.9149322],"genre_scores_gemma":[0.2201389,0.02189846,0.002815073,0.0006515204,0.0001526101,0.00002263945,0.0005345179,0.0000921899,0.7536941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01751157,"threshold_uncertainty_score":0.05858207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113164137139638,"score_gpt":0.1881858683861439,"score_spread":0.1770542270147475,"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."}}