{"id":"W4408816162","doi":"10.5194/oos2025-679","title":"Advancing the Climate-Biodiversity-Fisheries Nexus in the UN Decade of Ocean Science for Sustainable Development","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North Pacific Marine Science Organization","funders":"","keywords":"Nexus (standard); Fisheries science; Sustainable development; Biodiversity; Climate change; Fishery; Ocean science; Business; Oceanography; Natural resource economics; Environmental science; Geography; Environmental resource management; Political science; Economics; Fisheries management; Fishing; Ecology; Engineering; Geology; 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":[0.005700129,0.0004465526,0.0003954396,0.0008011639,0.002131381,0.008041396,0.0002999696,0.002998306,0.01748887],"category_scores_gemma":[0.00905327,0.0001856494,0.0003637542,0.001641402,0.002148197,0.006601707,0.004705928,0.003202966,0.003028501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003467662,"about_ca_system_score_gemma":0.008586626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006938172,"about_ca_topic_score_gemma":0.009671732,"domain_scores_codex":[0.9978241,0.0009140672,0.0000667922,0.0001479791,0.0007189747,0.0003280953],"domain_scores_gemma":[0.9974081,0.0009313392,0.0001577566,0.0002036941,0.0005601382,0.0007389933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001440515,0.00007256488,0.002420237,0.0003599197,0.0000182716,0.0002082131,0.001114025,0.001668315,0.000340443,0.5740279,0.280844,0.1387822],"study_design_scores_gemma":[0.0000159501,0.00002894678,0.003333702,0.0007284965,0.00001171902,0.00008220949,0.001977091,0.0007975433,0.000372419,0.2510755,0.7415389,0.00003747671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01772334,0.05083415,0.01160521,0.3948485,0.03872232,0.00008765679,0.000875251,0.0003781441,0.4849255],"genre_scores_gemma":[0.5984116,0.1055288,0.04429134,0.04535696,0.01957762,0.0003758651,0.001820663,0.0007930708,0.1838441],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01748887,"threshold_uncertainty_score":0.05850607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008199911370226852,"score_gpt":0.2185010994109723,"score_spread":0.2103011880407455,"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."}}