{"id":"W2120282888","doi":"10.1017/s0376892908005237","title":"Tropical dry forests in Venezuela: assessing status, threats and future prospects","year":2008,"lang":"en","type":"article","venue":"Environmental Conservation","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Instituto Venezolano de Investigaciones Científicas; Inter-American Institute for Global Change Research; University of Alberta; National Science Foundation","keywords":"Tropical and subtropical dry broadleaf forests; Subsistence agriculture; Context (archaeology); Environmental resource management; Threatened species; Geography; Clearing; Forest management; Ecosystem services; Agriculture; Agroforestry; Ecosystem; Environmental planning; Business; Ecology; Environmental science; Forestry; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008107668,0.0001505114,0.0001245204,0.0000489804,0.0003048982,0.00003121499,0.00008814375,0.00007976198,0.0004068164],"category_scores_gemma":[0.000005590074,0.0001486859,0.00002993932,0.0001367639,0.0002929926,0.0003756854,0.0002056072,0.0001235695,0.00008117641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367042,"about_ca_system_score_gemma":0.000008343049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795893,"about_ca_topic_score_gemma":0.0002647661,"domain_scores_codex":[0.9988466,0.00005674737,0.0001868178,0.0003476091,0.0003013518,0.0002608566],"domain_scores_gemma":[0.9996485,0.00002600852,0.00007411593,0.0001613727,0.000001294964,0.0000887854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001947088,0.0001173276,0.9926928,0.000006177083,0.000005170814,0.00003320807,0.0006988883,0.00002263886,0.0005201253,0.00001630264,0.0001149369,0.00575293],"study_design_scores_gemma":[0.0006597262,0.00004934845,0.9828302,0.000007525427,0.000009409236,0.000009037389,0.0004698576,0.0007922449,0.00008309982,0.0001572361,0.01476464,0.0001676355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969712,0.0002883988,0.00006624326,0.001117233,0.00007568901,0.0003136571,0.000005359696,0.00002882229,0.001133358],"genre_scores_gemma":[0.9974647,0.0006793334,0.0007613566,0.0005233344,0.00005890204,0.00001302632,0.00004206719,0.0000099926,0.0004472575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464971,"threshold_uncertainty_score":0.6063237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357568621018857,"score_gpt":0.2046186423952688,"score_spread":0.1910429561850803,"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."}}