{"id":"W2729353395","doi":"10.1111/cobi.12976","title":"Gaps and opportunities for the World Heritage Convention to contribute to global wilderness conservation","year":2017,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Wilderness; Wilderness area; Geography; Natural heritage; Biodiversity; Environmental resource management; Natural (archaeology); Natural resource; IUCN protected area categories; Subsistence agriculture; Cultural heritage; Protected area; Environmental protection; Ecology; Environmental planning; Agriculture; Archaeology; Tourism; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000524404,0.0001318062,0.0001473735,0.00003722807,0.001119582,0.0001584554,0.0003520612,0.00006208468,0.0001679741],"category_scores_gemma":[0.0002416728,0.0001079799,0.00004238393,0.00009237912,0.0003622559,0.0001570688,0.000414388,0.00003946331,0.00004561118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009766067,"about_ca_system_score_gemma":0.00001718913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605829,"about_ca_topic_score_gemma":0.007860828,"domain_scores_codex":[0.9990876,0.00006596056,0.0002107553,0.0003080034,0.0001037249,0.0002239178],"domain_scores_gemma":[0.999124,0.0001676172,0.0001698075,0.0003640489,0.00006807883,0.0001064306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001104046,0.00002125799,0.9497383,0.000014453,0.00003091429,0.000001339672,0.0001430709,0.00001998456,0.0004823725,0.00586946,0.03135885,0.01220956],"study_design_scores_gemma":[0.0003407504,0.00004947171,0.5508609,0.000007748589,0.00002114666,8.976082e-7,0.0002186166,0.00044205,0.00004225214,0.0006919139,0.4472322,0.00009209114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7980279,0.00005594057,0.01167926,0.1866834,0.0004020566,0.001159016,0.0001226606,0.00004278002,0.001826999],"genre_scores_gemma":[0.9578152,0.00006402363,0.0006757899,0.03196856,0.00008135107,0.0001735624,0.0001006074,0.000007813847,0.009113097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4158733,"threshold_uncertainty_score":0.8611032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661570592161851,"score_gpt":0.2837725498853764,"score_spread":0.2176154906691913,"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."}}