{"id":"W4409137229","doi":"10.1371/journal.pstr.0000165","title":"Aquaculture Governance Indicators: A diagnostic framework for steering towards sustainability","year":2025,"lang":"en","type":"article","venue":"PLOS Sustainability and Transformation","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Horizon 2020 Framework Programme; European Commission; Monterey Bay Aquarium Foundation","keywords":"Corporate governance; Sustainability; Business; Environmental resource management; Legislation; Deliberation; Enforcement; Legitimacy; Environmental planning; Process management; Political science; Economics; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01517481,0.0014086,0.000609185,0.01932918,0.002231923,0.008819721,0.001624978,0.001702342,0.00485821],"category_scores_gemma":[0.02275212,0.0003575844,0.0009268192,0.01008828,0.01055825,0.008438821,0.006148084,0.002107134,0.0007129001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008531826,"about_ca_system_score_gemma":0.01164474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471247,"about_ca_topic_score_gemma":0.008626107,"domain_scores_codex":[0.9888814,0.005972158,0.001305004,0.0007176553,0.002330174,0.0007935361],"domain_scores_gemma":[0.9812851,0.006609716,0.0041561,0.00151754,0.005189257,0.001242202],"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":[0.00002689935,0.00005590427,0.02279569,0.0002188131,0.00002876561,0.000140039,0.006604942,0.007094703,0.0002889623,0.8999433,0.008471176,0.05433097],"study_design_scores_gemma":[0.0000371647,0.0001611806,0.01894232,0.001132683,0.00005349313,0.0003990663,0.03057832,0.03583399,0.0009177554,0.7206455,0.1911511,0.0001474743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06676591,0.001475782,0.6154373,0.02700611,0.0005698671,0.002172462,0.004106793,0.00161779,0.280848],"genre_scores_gemma":[0.6586313,0.0009932243,0.3301841,0.0007097353,0.0001074122,0.001502916,0.002104889,0.0001312028,0.005635409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01932918,"threshold_uncertainty_score":0.08025301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102623211097897,"score_gpt":0.2621655290508054,"score_spread":0.2519032079410157,"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."}}