{"id":"W2809126070","doi":"","title":"Report on the development of prices & volumes in the European fishery & aquaculture market: Deliverable 2.1 in EU project PrimeFish: “Developing Innovative Market Orientated Prediction Toolbox to Strengthen the Economic Sustainability and Competitiveness of European Seafood on Local and Global marketsDeliverable 2.1 in EU project PrimeFish: “Developing Innovative Market Orientated Prediction Toolbox to Strengthen the Economic Sustainability and Competitiveness of European Seafood on Local and …","year":2016,"lang":"en","type":"article","venue":"","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Deliverable; Toolbox; Sustainability; Aquaculture; Business; European union; Fishery; Market development; Natural resource economics; Economics; International trade; Engineering; Fish <Actinopterygii>; Market economy; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009438919,0.0006788387,0.0007520278,0.000434594,0.0004069728,0.0002815465,0.0006557868,0.0001035478,0.00005035832],"category_scores_gemma":[0.0007122773,0.0003965465,0.00005638013,0.001728476,0.0007705982,0.000829462,0.0007421053,0.0004171396,0.000001760696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161986,"about_ca_system_score_gemma":0.0008561328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193628,"about_ca_topic_score_gemma":0.001779247,"domain_scores_codex":[0.9934785,0.002435986,0.001698531,0.001260641,0.0004709912,0.0006553023],"domain_scores_gemma":[0.9964422,0.001098217,0.0008334982,0.0005839621,0.001000534,0.00004161718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008197541,0.00073007,0.9246514,0.001676618,0.0004415013,0.00009085111,0.008574807,0.00123991,0.0000567944,0.02197439,0.0005486142,0.03181753],"study_design_scores_gemma":[0.002105378,0.0003719117,0.9501187,0.001240292,0.00003634629,0.00001544023,0.03663551,0.001242167,0.0002544364,0.0001585975,0.00735059,0.0004706036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506893,0.0000245154,0.0005901419,0.002334638,0.0001187477,0.004319217,0.0001931979,0.0000492028,0.04168108],"genre_scores_gemma":[0.9989007,0.00004402324,0.0001404484,0.000452124,0.00006334247,0.000134386,0.00006367941,0.00004719422,0.0001540615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04821148,"threshold_uncertainty_score":0.9998487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879872094903842,"score_gpt":0.2393993114273822,"score_spread":0.2206005904783437,"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."}}