{"id":"W2465516513","doi":"10.18278/wfp.2.2.3.1.3","title":"Developing Local Sustainable Seafood Markets: A Thai Example","year":2016,"lang":"en","type":"article","venue":"World Food Policy","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Business; Scale (ratio); Certification; Marketing; Geography; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009994907,0.0003244173,0.0001184211,0.000867613,0.004512165,0.005852515,0.000637539,0.0008427479,0.01255191],"category_scores_gemma":[0.001457033,0.0002197542,0.0003177917,0.002962475,0.002355512,0.004584552,0.003882387,0.001272963,0.0009111272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003174422,"about_ca_system_score_gemma":0.003622463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810016,"about_ca_topic_score_gemma":0.04009776,"domain_scores_codex":[0.9994066,0.0002666611,0.0000175838,0.00002648966,0.000105303,0.0001773648],"domain_scores_gemma":[0.9986529,0.0003364515,0.0001507381,0.00005761257,0.0002737174,0.0005285669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005777247,0.001757813,0.09306498,0.001866963,0.00006856642,0.02436544,0.1981175,0.008702608,0.003620416,0.4802196,0.02531119,0.1623273],"study_design_scores_gemma":[0.0001434476,0.0005321452,0.03193586,0.0006329712,0.00006988885,0.001920756,0.6243195,0.01366226,0.002304644,0.04569037,0.2786753,0.0001127381],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6533104,0.001021481,0.003511271,0.006825475,0.0000486624,0.0002463148,0.0001928576,0.00005367781,0.3347898],"genre_scores_gemma":[0.9747931,0.001283415,0.001819517,0.0002594932,0.0000147666,0.00007190304,0.00008830825,0.00001790302,0.02165167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810016,"threshold_uncertainty_score":0.04199028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926274769245775,"score_gpt":0.2701223852932904,"score_spread":0.2408596376008326,"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."}}