{"id":"W2049456500","doi":"10.5751/es-06207-180471","title":"Biocultural Refugia: Combating the Erosion of Diversity in Landscapes of Food Production","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Geography; Erosion; Production (economics); Ecology; Agroforestry; Environmental resource management; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007161738,0.00003937253,0.00007501549,0.000001381847,0.0002007683,0.000001160479,0.00004984678,0.00003423604,0.0002499239],"category_scores_gemma":[0.000006417483,0.00002135477,0.00002972647,0.00005335731,0.0004402543,0.00005841156,0.0002249818,0.00005677143,0.000004089413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001777536,"about_ca_system_score_gemma":4.157807e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101648,"about_ca_topic_score_gemma":0.00008183961,"domain_scores_codex":[0.9996926,0.00002317195,0.00008088961,0.00008368147,0.00005127584,0.00006842124],"domain_scores_gemma":[0.9998744,0.00002238973,0.00005566317,0.00003632382,0.000002234782,0.000008987102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002209051,0.00005844637,0.9696587,0.000005893192,0.00000952931,2.319564e-8,0.005285835,0.00003329108,0.02180056,0.00003812773,0.00144324,0.001664107],"study_design_scores_gemma":[0.00009682609,0.00009503429,0.9938297,0.000004309429,0.000005172481,7.109117e-7,0.003622831,0.00003492821,0.001916527,0.0003202109,0.000043385,0.00003038013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982489,0.00005231353,7.370409e-7,0.0004248651,0.00003703792,0.00009323785,8.899392e-7,0.000002264865,0.001139792],"genre_scores_gemma":[0.9994742,0.0001759269,0.0001610211,0.00005598422,0.000007384125,0.000004645508,0.000001059351,7.404503e-7,0.000119005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02417095,"threshold_uncertainty_score":0.2736492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233623692923002,"score_gpt":0.1975494067438076,"score_spread":0.1883157830508846,"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."}}