{"id":"W3193043460","doi":"10.1002/mcf2.10171","title":"Local Values and Data Empower Culturally Guided Ecosystem-Based Fisheries Management of the Wuikinuxv Bear–Salmon–Human System","year":2021,"lang":"en","type":"article","venue":"Marine and Coastal Fisheries","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mowi (Canada); Fisheries and Oceans Canada; Raincoast Conservation Foundation; University of Victoria; University of British Columbia","funders":"Hakai Institute; Raincoast Conservation Foundation; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Oncorhynchus; Wildlife; Fishery; Ecosystem; Geography; Fisheries management; Population; Ursus; Maximum sustainable yield; Wildlife management; Ecology; Fish <Actinopterygii>; Biology; Fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001918093,0.0001207693,0.0001534472,0.0005370898,0.0007429973,0.001296786,0.0003338229,0.0001811744,0.001157797],"category_scores_gemma":[0.003881346,0.0001550102,0.0001510365,0.0006146099,0.000841149,0.0006847199,0.001504111,0.0003729647,0.00008582844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454553,"about_ca_system_score_gemma":0.001676878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1842964,"about_ca_topic_score_gemma":0.4571527,"domain_scores_codex":[0.9994372,0.000304381,0.00002527937,0.0001029326,0.00006179377,0.00006836672],"domain_scores_gemma":[0.9985526,0.0003696565,0.0004142344,0.0002420562,0.0002654626,0.0001560057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004047667,0.00003978026,0.9654836,0.00003581502,0.00008959116,0.00008319385,0.002598498,0.007821647,0.001619957,0.001716465,0.0005247645,0.01994624],"study_design_scores_gemma":[0.000004305268,0.00005338002,0.9624005,0.00006312568,0.00005081883,0.00004917242,0.009562565,0.02020896,0.000798639,0.003136515,0.003641423,0.00003045275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954627,0.00004537999,0.001491173,0.0001841044,0.000002054456,0.000009375065,0.0001578832,0.00001244843,0.002634968],"genre_scores_gemma":[0.9989578,0.0000127042,0.0008207035,0.00001338094,7.341438e-7,0.000003949232,0.00005367051,0.000002641299,0.0001345798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8157036,"threshold_uncertainty_score":0.3664473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583365483269064,"score_gpt":0.222397600607804,"score_spread":0.2065639457751134,"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."}}