{"id":"W4289336648","doi":"10.1002/eap.2709","title":"Chinook salmon diversity contributes to fishery stability and trade‐offs with mixed‐stock harvest","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eagle Ridge Hospital; Simon Fraser University; Fisheries and Oceans Canada","funders":"Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative","keywords":"Overfishing; Population; Ecology; Population model; Vital rates; Stock (firearms); Population size; Ecosystem; Biology; Fishery; Population growth; Geography; Fishing; Demography","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":[0.0008942547,0.000222473,0.0002316319,0.000684887,0.0007208359,0.001225993,0.0004135981,0.0004243847,0.001104183],"category_scores_gemma":[0.003787188,0.0003046932,0.0007112266,0.0005583863,0.0007527149,0.0007104865,0.0007220209,0.0004019132,0.0001346233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010617,"about_ca_system_score_gemma":0.0006505555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142196,"about_ca_topic_score_gemma":0.06170801,"domain_scores_codex":[0.9996742,0.00006955455,0.00003245274,0.0001114899,0.00005490523,0.00005743941],"domain_scores_gemma":[0.9981169,0.0005941404,0.000611732,0.0002787597,0.0001656444,0.0002329991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001203817,0.00002441324,0.9884216,0.000008054463,0.0001873986,0.00006075108,0.000113172,0.005234464,0.002143761,0.0002900893,0.00005766951,0.003338432],"study_design_scores_gemma":[0.000005215901,0.00004550776,0.9720145,0.000004568955,0.00005778205,0.00008592644,0.0001783523,0.02643234,0.0003596327,0.0007254266,0.00007847327,0.00001232794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993628,0.00003226497,0.0003183871,0.00002317587,0.000001083982,0.000001254491,0.0000190831,0.000005974747,0.0002360309],"genre_scores_gemma":[0.9998078,0.000006744021,0.00008186787,0.000003849354,0.000001108739,8.545546e-7,0.00002338808,0.000002300923,0.00007217033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02142196,"threshold_uncertainty_score":0.04259455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365508992618404,"score_gpt":0.1967133408555743,"score_spread":0.1830582509293902,"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."}}