{"id":"W4389137209","doi":"10.1111/faf.12806","title":"Quota use in mixed‐stock fisheries","year":2023,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian MPS Society for Mucopolysaccharide and Related Diseases; Wildlife Conservation Society Canada; Canadian Water and Wastewater Association; Fisheries and Oceans Canada","funders":"","keywords":"Overfishing; Fisheries management; Fishery; Fishing; Stock (firearms); Maximum sustainable yield; Sustainability; Business; Fish stock; Demersal zone; Natural resource economics; Economics; Ecology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004726687,0.0002752505,0.0004459624,0.001333557,0.0006913804,0.002808159,0.000943862,0.0005008629,0.008699599],"category_scores_gemma":[0.01596917,0.0001876322,0.0004026604,0.001492789,0.0009957283,0.003040696,0.001676889,0.0004639233,0.0005322747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361202,"about_ca_system_score_gemma":0.001013841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00896991,"about_ca_topic_score_gemma":0.0130878,"domain_scores_codex":[0.9968862,0.001141534,0.0003363231,0.0004641015,0.0007180434,0.0004538163],"domain_scores_gemma":[0.9903566,0.004752039,0.002255804,0.0007444786,0.001370032,0.0005210444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001394517,0.0003252006,0.3127941,0.001389203,0.0005006878,0.001084309,0.003627595,0.04683704,0.01037645,0.3862559,0.00602019,0.2293947],"study_design_scores_gemma":[0.00008019945,0.001476948,0.55013,0.00100888,0.0003279827,0.0009395909,0.008789352,0.1501767,0.00792238,0.1796573,0.09923846,0.0002521421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886632,0.002184495,0.02447089,0.001012744,0.0001329186,0.0001087576,0.001741227,0.0001091506,0.0836078],"genre_scores_gemma":[0.9973007,0.0001099718,0.0009436099,0.00004177669,0.000008604433,0.00002748161,0.0001422791,0.000006257559,0.001419353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00896991,"threshold_uncertainty_score":0.02910304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541596144333961,"score_gpt":0.2368408676836172,"score_spread":0.2014249062402776,"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."}}