{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823723,0.0001381905,0.0001807301,0.000008388799,0.0002777317,0.00006838761,0.0002533667,0.00005930675,0.000406286],"category_scores_gemma":[0.00001249504,0.0001014412,0.0000289487,0.0001215723,0.0003539361,0.0002836999,0.001804655,0.00007270728,0.000004733055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002421684,"about_ca_system_score_gemma":0.00001366127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007055081,"about_ca_topic_score_gemma":0.007473809,"domain_scores_codex":[0.998979,0.00009688788,0.0002519607,0.0003349587,0.0001847098,0.0001524304],"domain_scores_gemma":[0.9993511,0.00002879373,0.00009303985,0.0004660157,0.00002011137,0.00004092807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002937022,0.00004078344,0.982922,0.0002528162,0.00005426489,0.00003369245,0.0001771272,0.00002093315,0.0001236666,0.0003862954,0.01271163,0.003247483],"study_design_scores_gemma":[0.0004149938,0.00005858846,0.9742317,0.00007452543,0.0000670306,0.0000370993,0.002743953,0.0008685014,0.0003859723,0.0002758849,0.02067988,0.0001618618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800627,0.00002771619,0.0001055451,0.001776248,0.0001214152,0.0001726748,0.00004954963,0.00003077864,0.01765343],"genre_scores_gemma":[0.9940964,0.00001581865,0.0004129172,0.0002663441,0.00001531322,0.00001568132,0.0001073401,0.000008725677,0.005061489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403372,"threshold_uncertainty_score":0.4448546,"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."}}