{"id":"W1905622249","doi":"10.1111/faf.12129","title":"Provenance of global seafood","year":2015,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council","keywords":"Fishing; Work (physics); Business; Fishery; Provenance; International trade; Biology; Engineering","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":[0.0000605605,0.00004560866,0.00005510018,0.000004313993,0.00002095614,0.00001778096,0.00005936571,0.00004628634,0.00000485179],"category_scores_gemma":[0.00007110851,0.00004408685,0.00001691491,0.00004658011,0.00007657004,0.000004069473,0.00002099508,0.00001493146,0.000002233595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002819723,"about_ca_system_score_gemma":0.0000356901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000475357,"about_ca_topic_score_gemma":0.00002079397,"domain_scores_codex":[0.9996545,0.00001273755,0.00009815578,0.0001175099,0.00005576198,0.00006138783],"domain_scores_gemma":[0.9996657,0.000001109348,0.00004772456,0.000142915,0.00009746917,0.00004512308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003656629,0.0002802823,0.1787373,0.000109748,0.00008635363,0.000001184538,0.0004852562,0.000004070346,0.08891679,0.02495118,0.6848911,0.02117114],"study_design_scores_gemma":[0.0005677755,0.0003840355,0.1248568,0.000006646159,0.0000102761,0.00001336875,0.0003814704,0.00001347854,0.1291124,0.0010469,0.7434385,0.0001683805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792568,0.0002246041,0.0004243679,0.001813935,0.0001325058,0.0001007388,0.00006266339,0.00001213268,0.01797227],"genre_scores_gemma":[0.9982485,0.00002764833,0.0003135242,0.0003189325,0.00004456812,0.000006691362,0.00006881631,0.000002735704,0.0009685698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05854744,"threshold_uncertainty_score":0.1797809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641443685246896,"score_gpt":0.2538385430788288,"score_spread":0.2274241062263598,"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."}}