{"id":"W3195967424","doi":"10.2993/0278-0771-41.2.209","title":"Using Traditional Ecological Knowledge to Understand the Diversity and Abundance of Culturally Important Trees","year":2021,"lang":"en","type":"article","venue":"Journal of Ethnobiology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grieg Seafood (Canada); Simon Fraser University","funders":"","keywords":"Indigenous; Carving; Abundance (ecology); Geography; Traditional knowledge; Diversity (politics); Logging; Ecology; Agroforestry; Resource (disambiguation); Forestry; Archaeology; Sociology; Anthropology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001658176,0.0002450408,0.0002731083,0.003672043,0.000916711,0.001895336,0.0004832114,0.000334733,0.001431565],"category_scores_gemma":[0.005564854,0.0001750973,0.0001536441,0.002467006,0.002516238,0.003228922,0.001570881,0.0005522615,0.0001153512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725996,"about_ca_system_score_gemma":0.001638403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07691131,"about_ca_topic_score_gemma":0.224816,"domain_scores_codex":[0.9994277,0.0002570182,0.00003547895,0.0001057557,0.0001132462,0.00006060406],"domain_scores_gemma":[0.9969439,0.001706362,0.0006273186,0.0002760337,0.000327043,0.0001193511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004863114,0.0002111234,0.6876948,0.0005894661,0.0001466461,0.0005914449,0.1227232,0.001977155,0.002573865,0.005029315,0.0005041115,0.1779103],"study_design_scores_gemma":[0.000009584243,0.0001233674,0.7233661,0.0009472792,0.00009988315,0.0004956522,0.2333961,0.005799795,0.0009943841,0.02434196,0.01035113,0.00007477786],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784915,0.0007553631,0.007347961,0.0004281858,0.0000077799,0.00003715741,0.0002512249,0.000009370892,0.01267145],"genre_scores_gemma":[0.9934793,0.000604506,0.005336981,0.00009433812,0.00000461614,0.00002801948,0.0001068535,0.000002094063,0.0003433331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07691131,"threshold_uncertainty_score":0.1529273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164588487530965,"score_gpt":0.2704392933037009,"score_spread":0.1539804445506044,"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."}}