{"id":"W4313334808","doi":"10.1007/s11160-022-09747-2","title":"Innovation to limit seafood fraud post-COVID-19","year":2022,"lang":"en","type":"article","venue":"Reviews in Fish Biology and Fisheries","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Niagara; Niagara College","funders":"Australian Research Council","keywords":"Coronavirus disease 2019 (COVID-19); Supply chain; Fishing; Business; Biology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Fishery; Pandemic; Natural resource economics; Sustainable development; Environmental resource management; Environmental planning; Marketing; Ecology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007432977,0.0001147962,0.0001832011,0.0001310885,0.0002340776,0.00002233822,0.0001886627,0.00009832872,0.0002175411],"category_scores_gemma":[0.0008232208,0.0001150392,0.00003762622,0.0004317703,0.00008071693,0.000005830585,0.0001446963,0.0001270414,0.00001028019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002235153,"about_ca_system_score_gemma":0.00006388332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001183728,"about_ca_topic_score_gemma":0.00009001298,"domain_scores_codex":[0.9987621,0.0002659783,0.0003936109,0.0003758788,0.00004832486,0.0001540485],"domain_scores_gemma":[0.999433,0.00001725626,0.000126025,0.0003038761,0.00006199697,0.00005782141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005082226,0.0004525123,0.1111812,0.0003138368,0.00007650712,0.000004094573,0.001696027,0.00002587979,0.4163537,0.04096741,0.2982941,0.1301266],"study_design_scores_gemma":[0.0001788003,0.0003012751,0.01396525,0.000003900949,0.0000044046,0.00001246807,0.0001631467,0.000001986237,0.001534563,0.000332413,0.9833558,0.0001459675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477889,0.004795483,0.001503921,0.04056422,0.0007036254,0.001384821,0.0002034293,0.00004483135,0.003010769],"genre_scores_gemma":[0.9409218,0.003372293,0.0006823326,0.05064678,0.0001274545,0.0006347765,0.001661444,0.00001564721,0.001937403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6850618,"threshold_uncertainty_score":0.4691162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506620353374111,"score_gpt":0.3313938211711049,"score_spread":0.2763276176373639,"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."}}