{"id":"W4389728370","doi":"10.21203/rs.3.rs-3611018/v1","title":"Enhancing global food security through the introduction of Maximum Sustainable Yield targets in fisheries","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Overfishing; Food security; Maximum sustainable yield; Natural resource economics; Sustainability; Fishing; Sustainable yield; Business; Fishery; Yield (engineering); Fish stock; Agricultural economics; Fisheries management; Economics; Agriculture; Ecology; 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":[0.003415927,0.0005434551,0.0005700678,0.0006659295,0.0005374638,0.00293815,0.0005281095,0.002132867,0.009673277],"category_scores_gemma":[0.01351115,0.0003176732,0.0004303801,0.001276472,0.0008989893,0.004214859,0.002280015,0.002754385,0.001569189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663413,"about_ca_system_score_gemma":0.002261696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797746,"about_ca_topic_score_gemma":0.002378184,"domain_scores_codex":[0.9987972,0.0004431157,0.00003910294,0.0001397402,0.0005061707,0.00007480151],"domain_scores_gemma":[0.9979627,0.001121954,0.0001442575,0.0002616035,0.0003996629,0.0001098103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006278126,0.00005069965,0.0007525418,0.0001407283,0.00002933834,0.00008632226,0.0001258501,0.01877526,0.001023922,0.8721105,0.03995226,0.06688981],"study_design_scores_gemma":[0.00001821955,0.00001652982,0.001188981,0.00008974584,0.00001469126,0.00005420081,0.0000874793,0.03345879,0.001535611,0.9176589,0.04586298,0.00001387817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07027486,0.007776276,0.366583,0.1064921,0.006412006,0.00008872705,0.001281275,0.0009023444,0.4401895],"genre_scores_gemma":[0.7879479,0.008000567,0.115737,0.002621346,0.003203558,0.0001885975,0.0006715467,0.0007006421,0.08092877],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009673277,"threshold_uncertainty_score":0.03236032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04771356018280142,"score_gpt":0.3294727034881041,"score_spread":0.2817591433053027,"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."}}