{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007710518,0.0003129582,0.000144868,0.002370483,0.0005449652,0.001013306,0.0002263154,0.0001872387,0.001479375],"category_scores_gemma":[0.0009796045,0.00009972527,0.0001921035,0.00147986,0.0003231215,0.0006522773,0.0007687836,0.000309007,0.00005062395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118113,"about_ca_system_score_gemma":0.0007430699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05576179,"about_ca_topic_score_gemma":0.1372078,"domain_scores_codex":[0.9998688,0.00004143875,0.000008528753,0.00001597599,0.00002298025,0.0000422613],"domain_scores_gemma":[0.9992924,0.0002547896,0.0002222283,0.00001770337,0.0001037456,0.0001090225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108617,0.00005922237,0.9691757,0.0001637381,0.00005045178,0.0002741741,0.001240268,0.002089909,0.0007126369,0.0003905729,0.000364386,0.02536811],"study_design_scores_gemma":[0.000005908929,0.00006946056,0.9912328,0.000104178,0.00003773362,0.0001165011,0.004147869,0.001817726,0.000123825,0.000548329,0.001787166,0.000008560566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949436,0.00162974,0.0002180881,0.0001787257,0.000007863609,0.00003020884,0.0003228397,0.00000865223,0.002660326],"genre_scores_gemma":[0.9979872,0.0008295737,0.0004818881,0.00001891943,0.00001285909,0.0000170575,0.0002062754,0.000001247375,0.0004450737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05576179,"threshold_uncertainty_score":0.1108744,"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."}}