{"id":"W2990900851","doi":"10.5751/es-11120-240421","title":"Biocultural indicators to support locally led environmental management and monitoring","year":2019,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Raincoast Conservation Foundation; University of Victoria","funders":"Raincoast Conservation Foundation; Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Victoria","keywords":"Environmental resource management; Environmental planning; Environmental monitoring; Geography; Business; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.02249176,0.0009865053,0.0005886884,0.009988662,0.001297724,0.003570847,0.00193158,0.0006754601,0.0121567],"category_scores_gemma":[0.04466451,0.0003280074,0.0003172244,0.007710109,0.0005836647,0.003277607,0.005844336,0.00150095,0.003939093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002794541,"about_ca_system_score_gemma":0.007138651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849499,"about_ca_topic_score_gemma":0.04214503,"domain_scores_codex":[0.9872892,0.006370634,0.00138025,0.0007292797,0.003678157,0.0005526084],"domain_scores_gemma":[0.9288097,0.01037399,0.01517593,0.003717375,0.03611952,0.005803513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002783687,0.0004080979,0.1558365,0.0009009452,0.00008526605,0.0001562806,0.002619558,0.001256825,0.002213432,0.004822044,0.1519749,0.6794478],"study_design_scores_gemma":[0.0001934581,0.0006874834,0.3113103,0.003549849,0.0001907464,0.0003139987,0.01083211,0.008698026,0.007761528,0.01143052,0.6447771,0.0002548326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2209636,0.01567262,0.116112,0.04729312,0.003086869,0.005115111,0.04831515,0.01320631,0.5302352],"genre_scores_gemma":[0.6113267,0.008263404,0.3119851,0.00470283,0.000825462,0.005381157,0.02716959,0.001170252,0.02917549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02249176,"threshold_uncertainty_score":0.1189492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003146442334767342,"score_gpt":0.1980681533810224,"score_spread":0.194921711046255,"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."}}