{"id":"W7102551894","doi":"10.20294/jgbt.2025.21.2.11","title":"Impact of the COVID-19 Pandemic and Inflation on the USCanada Seafood Trade","year":2025,"lang":"","type":"article","venue":"International Academy of Global Business and Trade","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Pandemic; Government (linguistics); Terms of trade","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004880284,0.0001882683,0.0002242239,0.00006823742,0.0003423659,0.00007454189,0.000503646,0.0001501781,0.00008492159],"category_scores_gemma":[0.0002525502,0.0001166089,0.0001091677,0.0007358088,0.00062701,0.000167488,0.0001698772,0.0001842044,3.191473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039434,"about_ca_system_score_gemma":0.0004608276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004857829,"about_ca_topic_score_gemma":0.0005889969,"domain_scores_codex":[0.9983588,0.0001183564,0.000433892,0.0002629215,0.0006274123,0.0001986613],"domain_scores_gemma":[0.9992139,0.0002676277,0.0003247222,0.00007272925,0.00003213052,0.00008882771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002123038,0.0001401987,0.6668996,0.0001062363,0.0006412786,0.000001003518,0.001326475,0.0004167823,0.00006742145,0.3033325,0.01057391,0.01628223],"study_design_scores_gemma":[0.0006069419,0.00001684932,0.9410418,0.0001172302,0.00007908486,0.00000315078,0.0002901444,0.0001511163,0.00001087248,0.01404814,0.04352792,0.0001066933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761241,0.0004546597,0.0000509832,0.2149175,0.0003966444,0.0004900039,0.0001256237,0.000009704457,0.007430699],"genre_scores_gemma":[0.9959797,0.001348116,0.000007595494,0.002385983,0.00009215587,0.000009697296,0.000002938983,0.000003489339,0.0001702798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2892844,"threshold_uncertainty_score":0.7343617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717708083437426,"score_gpt":0.3470731938103529,"score_spread":0.3098961129759786,"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."}}