{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005149391,0.0003149158,0.0003157398,0.0005829978,0.0004107689,0.0003632385,0.0004280165,0.00009492429,0.0001573557],"category_scores_gemma":[0.0005760009,0.0002404117,0.0001636698,0.001762958,0.0002126302,0.001385257,0.0003709841,0.0001295725,0.0001866257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960662,"about_ca_system_score_gemma":0.0003836559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008820811,"about_ca_topic_score_gemma":0.001309841,"domain_scores_codex":[0.9976432,0.00003794277,0.0003366643,0.0004180354,0.0003206198,0.00124348],"domain_scores_gemma":[0.9990056,0.0001054094,0.0001514481,0.0004015489,0.0002744671,0.00006152165],"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":[0.00008198229,0.0001039174,0.01028227,0.0003701348,0.00007846075,0.00002323459,0.0006944474,0.000002618395,0.000008608194,0.9606541,0.0084466,0.01925357],"study_design_scores_gemma":[0.001210625,0.00003605533,0.03038794,0.00008770148,0.0000520743,0.000002395969,0.01157171,0.00000965425,0.00005283865,0.2284324,0.7275341,0.0006225435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6196815,0.0004027094,0.005465037,0.06589039,0.0006282489,0.001653734,0.00003007303,0.001093545,0.3051547],"genre_scores_gemma":[0.9872898,0.000009975821,0.00007703989,0.004735126,0.002411986,0.00003506943,0.000007936702,0.00004948342,0.005383596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7322218,"threshold_uncertainty_score":0.9977795,"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."}}