{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002242432,0.0001837715,0.0002162015,0.00007796873,0.0001700329,0.0002476737,0.0002283243,0.0001139544,0.006876349],"category_scores_gemma":[0.0002286377,0.0001745761,0.00004307464,0.0007309092,0.0004411725,0.0008896011,0.0006511772,0.0002236528,0.0002001325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004381391,"about_ca_system_score_gemma":0.00001201636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002818311,"about_ca_topic_score_gemma":0.01277238,"domain_scores_codex":[0.9984364,0.00006079068,0.0002347634,0.000409811,0.0003096902,0.0005485616],"domain_scores_gemma":[0.9994049,0.0001032829,0.00003366798,0.0003003152,0.000008844775,0.0001490059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002825765,0.00001923672,0.795958,0.00001554974,0.000004395851,0.00005230592,0.0003876315,0.000002052839,0.00006389969,0.00002938644,0.1826929,0.02074641],"study_design_scores_gemma":[0.0001650249,0.00005285149,0.5631669,0.000003285357,0.000001586436,0.000004716312,0.0002318981,0.0002186979,0.00002835339,0.0002629812,0.435722,0.0001416524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620588,0.000003688655,0.00000574776,0.003166336,0.0001439227,0.0001938646,0.00002932595,0.0001353495,0.1342629],"genre_scores_gemma":[0.8910116,0.0007844509,0.0005918133,0.002359404,0.0001556566,0.000244388,0.0001781775,0.00008492911,0.1045896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2530291,"threshold_uncertainty_score":0.9940315,"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."}}