{"id":"W7117100539","doi":"10.30525/2256-0742/2025-11-5-307-317","title":"ECONOMIC EFFICIENCY OF INTEGRATING FISHERIES MANAGEMENT AND ENVIRONMENTAL CONSERVATION: INTERNATIONAL EXPERIENCE AND PROSPECTS FOR UKRAINE","year":2025,"lang":"en","type":"article","venue":"Baltic Journal of Economic Studies","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Fisheries management; Sustainability; Fisheries law; Water Framework Directive; Population; Context (archaeology); Food security; Wetland","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002930595,0.0001930062,0.0002684478,0.0009620521,0.002034001,0.003236712,0.0004925771,0.0004771324,0.00145116],"category_scores_gemma":[0.002082897,0.0001163417,0.0001950765,0.002485022,0.002269403,0.002052314,0.003016406,0.0006003795,0.0001079569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005280057,"about_ca_system_score_gemma":0.00527735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806859,"about_ca_topic_score_gemma":0.01397564,"domain_scores_codex":[0.9989229,0.0004615964,0.00006809671,0.00007742395,0.0002001985,0.0002697863],"domain_scores_gemma":[0.9990362,0.0003166324,0.0002223296,0.00005543339,0.0001688806,0.0002005143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002352676,0.0005833233,0.1652444,0.001027905,0.0001163714,0.004148812,0.1493614,0.003660316,0.001761388,0.1300266,0.006200444,0.5376337],"study_design_scores_gemma":[0.00001581778,0.0005009402,0.407136,0.001938741,0.00007747272,0.002342839,0.2366187,0.001664917,0.001806661,0.01055219,0.3372772,0.00006869667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162363,0.02554195,0.0007261284,0.005049943,0.00007106548,0.00001602785,0.00004533911,0.00001115484,0.05230211],"genre_scores_gemma":[0.986458,0.01021851,0.0004205217,0.0002270021,0.00001636225,0.000006755689,0.00002583544,0.00000632211,0.002620761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806859,"threshold_uncertainty_score":0.03830969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271950036431123,"score_gpt":0.2506592334249214,"score_spread":0.2379397330606101,"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."}}