{"id":"W2996024595","doi":"","title":"The Russian Fish Market: Export, Import And Customs Duties","year":2017,"lang":"en","type":"article","venue":"International Trade and Trade Policy","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Business; International trade; Fish <Actinopterygii>; Value (mathematics); Russian federation; Domestic market; Fish products; Service (business); Fishery; International economics; Agricultural economics; Economics; Finance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006420669,0.0001428211,0.0001902986,0.001794195,0.0002937411,0.001524667,0.000199383,0.0002350361,0.008525439],"category_scores_gemma":[0.002007479,0.0001020687,0.0003219054,0.002013778,0.0005241118,0.001422267,0.0006259293,0.0002995709,0.001385813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006095,"about_ca_system_score_gemma":0.000646776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210114,"about_ca_topic_score_gemma":0.009895003,"domain_scores_codex":[0.9995435,0.00005391936,0.00003534054,0.00006988925,0.0002249432,0.000072325],"domain_scores_gemma":[0.9989119,0.0002420138,0.0004340094,0.00005556388,0.0002584664,0.00009802134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003300994,0.0001527227,0.9035199,0.0002724699,0.000156173,0.0007180836,0.003175295,0.004187881,0.001914521,0.03149631,0.00735021,0.04672624],"study_design_scores_gemma":[0.0000041546,0.00007974838,0.9774091,0.00004961266,0.00003870683,0.0002485192,0.002742282,0.002467337,0.0004225518,0.001354833,0.01516745,0.00001567503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950588,0.0007591243,0.0004894208,0.0003208921,0.00002122683,0.00001752518,0.004325455,0.0000181583,0.04346016],"genre_scores_gemma":[0.9927378,0.0002833921,0.0001776795,0.00002217099,0.0000171524,0.00000704748,0.001880836,0.00001104455,0.004862889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210114,"threshold_uncertainty_score":0.02852041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311887766081763,"score_gpt":0.2697004617408237,"score_spread":0.2385116851326474,"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."}}