{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02310479,0.0007249512,0.0005991023,0.00301144,0.002084054,0.006745753,0.00375988,0.01125202,0.0292895],"category_scores_gemma":[0.06303755,0.0003988291,0.001345403,0.001018318,0.004485375,0.00628273,0.006580853,0.007938036,0.01097957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004221409,"about_ca_system_score_gemma":0.0188605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005053044,"about_ca_topic_score_gemma":0.005672573,"domain_scores_codex":[0.982724,0.003602821,0.0007480812,0.002037536,0.008582095,0.002305479],"domain_scores_gemma":[0.9482402,0.0128931,0.004817914,0.004753599,0.02273425,0.006560836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002625197,0.001006021,0.01377853,0.0004672002,0.00009985004,0.0005397832,0.0006920293,0.0007417286,0.00350255,0.1529016,0.3230832,0.5029249],"study_design_scores_gemma":[0.00012325,0.0007277171,0.01922301,0.001506597,0.0000845869,0.001152046,0.001053928,0.003823726,0.007455995,0.06002296,0.9046794,0.0001466556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03937054,0.01092195,0.08440168,0.45063,0.02668756,0.001142991,0.001028831,0.003161752,0.3826546],"genre_scores_gemma":[0.3916261,0.007566839,0.06124332,0.2426917,0.008069187,0.001291984,0.002218663,0.000612321,0.2846799],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0292895,"threshold_uncertainty_score":0.1221913,"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."}}