{"id":"W4405613207","doi":"10.1111/faf.12877","title":"Hope or Despair Revisited: Assessing Progress and New Challenges in Global Fisheries","year":2024,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Overexploitation; Fisheries management; Livelihood; Sustainability; Fisheries law; Climate change; Fishery; Business; Enforcement; Food security; Overfishing; Threatened species; Environmental resource management; Environmental planning; Natural resource economics; Political science; Geography; Fishing; Economics; Agriculture; Ecology; Habitat","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002458003,0.0002201536,0.0002526804,0.00003974045,0.0001314848,0.0008512013,0.0001622423,0.0001286186,0.003202983],"category_scores_gemma":[0.00009831234,0.000173832,0.00003090807,0.000409262,0.00052559,0.001227049,0.0004841165,0.0002186123,0.00001436959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007398855,"about_ca_system_score_gemma":0.00004811444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005507491,"about_ca_topic_score_gemma":0.003299894,"domain_scores_codex":[0.9984666,0.00006491548,0.0002246313,0.0005455204,0.0002693869,0.0004289494],"domain_scores_gemma":[0.9994833,0.00007868878,0.00002611381,0.0001973368,0.00000746147,0.0002070423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005569051,0.0000169681,0.4470535,0.0001848584,0.00001013268,0.0001446959,0.0005866368,1.020465e-7,0.000003859276,0.0001287384,0.02588479,0.52593],"study_design_scores_gemma":[0.0002156873,0.0001514614,0.3100514,0.00008444672,0.000008272936,0.00008041377,0.0007161336,0.0002158882,0.000008668188,0.0009422184,0.6872886,0.0002367552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4988809,0.007439564,0.00006200228,0.04797481,0.0003172138,0.0007236642,0.00005285498,0.000403325,0.4441457],"genre_scores_gemma":[0.9267715,0.03748292,0.006442422,0.002113232,0.0006792862,0.0001898712,0.00006833448,0.0001240661,0.02612842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6614038,"threshold_uncertainty_score":0.9977082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820021316414938,"score_gpt":0.2968333589421279,"score_spread":0.2386331457779785,"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."}}