{"id":"W4293126300","doi":"10.7202/1088200ar","title":"Between Permanence and Adaptation","year":2021,"lang":"en","type":"article","venue":"Ethnologies","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Government (linguistics); Ethnography; Context (archaeology); Sustainability; Sociology; Resistance (ecology); Community forestry; Indigenous rights; Forest management; Geography; Political science; Environmental resource management; Ecology; Anthropology; Forestry","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":[0.00005763454,0.00003725796,0.00003961293,0.00001042637,0.0001118487,0.00001858961,0.00006542029,0.0000293786,0.0002834237],"category_scores_gemma":[0.00004992244,0.00003366984,0.000009871712,0.00008335101,0.0001416559,0.00005766971,0.0003004525,0.00003897492,0.0001234568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826026,"about_ca_system_score_gemma":0.000002382869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001466228,"about_ca_topic_score_gemma":0.000132263,"domain_scores_codex":[0.9996559,0.00001872551,0.00004776282,0.0001280428,0.00007673951,0.00007285229],"domain_scores_gemma":[0.9998447,0.00003132521,0.00001802642,0.00008774718,0.000004064453,0.00001418752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[6.604953e-7,0.000004436698,0.9420586,0.000003260409,0.000004281259,0.000005997415,0.001482844,0.00006428269,0.0002607547,0.00001441919,0.0004763487,0.05562418],"study_design_scores_gemma":[0.00005754317,0.000008733307,0.9704689,0.000002177557,0.000007232928,6.951087e-7,0.005692034,0.000155615,0.0004279585,0.0003875631,0.02274247,0.00004912844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99059,0.000122768,0.0002495425,0.003636251,0.00002772517,0.00003157074,0.000001641412,0.00004993331,0.005290516],"genre_scores_gemma":[0.9960083,0.0001175333,0.001690289,0.0001571175,0.000009048406,0.000001230806,0.000005175601,0.000001243451,0.002010082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05557505,"threshold_uncertainty_score":0.3103291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904513214852972,"score_gpt":0.2297952541385536,"score_spread":0.1907501219900239,"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."}}