{"id":"W2118218024","doi":"10.1525/bio.2011.61.11.10","title":"Sustainable \"Seafood\" Ecolabeling and Awareness Initiatives in the Context of Inland Fisheries: Increasing Food Security and Protecting Ecosystems","year":2011,"lang":"en","type":"article","venue":"BioScience","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; U.S. Department of Agriculture; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; New York State Department of Environmental Conservation; Smithsonian Institution","keywords":"Grassroots; Business; Fishery; Context (archaeology); Marine ecosystem; Food security; Threatened species; Environmental planning; Scale (ratio); Certification; Environmental resource management; Ecosystem; Natural resource economics; Geography; Ecology; Environmental science; Political science; Habitat; Politics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111326,0.00009275038,0.0001298405,0.0000263054,0.0003380564,0.00004048541,0.0001576935,0.00002852473,0.0000114644],"category_scores_gemma":[0.0004070634,0.00005953359,0.00001240547,0.0002754498,0.0004119839,0.0003831413,0.0002982136,0.00009108448,4.734923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000212426,"about_ca_system_score_gemma":0.00001291443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016369,"about_ca_topic_score_gemma":0.002469586,"domain_scores_codex":[0.9991016,0.0001566035,0.0001580335,0.0002306448,0.0001455547,0.0002075982],"domain_scores_gemma":[0.9996398,0.0001283392,0.00009017836,0.00009570391,0.00001549056,0.0000304739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001363671,0.00003006366,0.9570729,0.00007624728,0.000002813575,0.000002629642,0.04126826,2.100086e-7,0.0007928726,0.0003915524,0.000006122152,0.0003427342],"study_design_scores_gemma":[0.0003030658,0.0003572828,0.8667865,0.00006809756,0.000007181483,0.00001776041,0.1266187,0.0002231199,0.003587515,0.001268498,0.0005870629,0.0001751532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935018,0.0001327331,0.00001255771,0.00006451445,0.00001756709,0.0003668706,0.000002951454,0.000007180431,0.005893778],"genre_scores_gemma":[0.999709,0.00003696895,0.0001514373,0.00005557889,0.000008182034,0.00002609348,2.167509e-7,0.00000269716,0.000009892005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09028631,"threshold_uncertainty_score":0.909499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499589399531746,"score_gpt":0.2362043262693427,"score_spread":0.2112084322740253,"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."}}