{"id":"W4385637077","doi":"10.1038/s44183-023-00017-7","title":"Building climate resilience, social sustainability and equity in global fisheries","year":2023,"lang":"en","type":"article","venue":"npj Ocean Sustainability","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Xunta de Galicia; Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Sustainability; Emissions trading; Natural resource economics; Global warming; Business; Equity (law); Carbon price; Carbon credit; Carbon sequestration; Climate change; Environmental economics; Economics; Ecology; Carbon dioxide","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":[0.002815429,0.0002427803,0.0003241196,0.00006829024,0.0005289636,0.0001590472,0.0004737812,0.0001662617,0.0007810909],"category_scores_gemma":[0.002197094,0.0002421837,0.00008211172,0.001944394,0.001541775,0.0006035844,0.003746963,0.0003417767,0.00001349608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003277066,"about_ca_system_score_gemma":0.0001976336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003990919,"about_ca_topic_score_gemma":0.0009830371,"domain_scores_codex":[0.9963922,0.0003155756,0.0004274595,0.0008621613,0.000637945,0.00136467],"domain_scores_gemma":[0.998999,0.0001530999,0.00006652884,0.0004680744,0.0001076928,0.0002056283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001445186,0.0000842351,0.9177392,0.000294584,0.00000266669,0.00006860407,0.0005695001,0.00007645947,0.00000573575,0.002872135,0.00147675,0.07666563],"study_design_scores_gemma":[0.0003162835,0.00007496843,0.8663514,0.000001876606,0.000003597861,0.000002921128,0.004894431,0.00118426,0.000009097006,0.1159698,0.01096192,0.0002293806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527677,0.000004173813,0.00003865798,0.003981562,0.00004359411,0.0007117142,0.00002069794,0.0001720794,0.04225984],"genre_scores_gemma":[0.9991097,0.00001913702,0.0001230118,0.00007237076,0.00003874239,0.000031025,0.000007442844,0.00001357054,0.0005849709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130977,"threshold_uncertainty_score":0.9875963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548719463524537,"score_gpt":0.3374637110178286,"score_spread":0.3219765163825832,"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."}}