{"id":"W2059674989","doi":"10.1016/j.marpol.2007.06.007","title":"Trade secrets: Renaming and mislabeling of seafood","year":2007,"lang":"en","type":"article","venue":"Marine Policy","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":371,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Marine Fisheries Service; University of British Columbia; Pew Charitable Trusts","keywords":"Legislation; Business; Mandate; Stewardship (theology); International trade; Resource (disambiguation); Scarcity; Economics; Political science; Law; Market economy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002280563,0.00006433331,0.00006772912,0.00008054436,0.00004258187,0.00001060264,0.00007621012,0.00006047023,0.0000112899],"category_scores_gemma":[0.0001004721,0.00006712708,0.00002775737,0.0001121358,0.00005647784,0.000001959922,0.00006753296,0.00003765064,0.000002470526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005620784,"about_ca_system_score_gemma":0.00002845206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007891452,"about_ca_topic_score_gemma":0.00003801221,"domain_scores_codex":[0.9994448,0.00001413186,0.0001967237,0.000155393,0.00006370476,0.0001251892],"domain_scores_gemma":[0.9996212,0.000009474611,0.0000755494,0.0002105365,0.00003366783,0.0000495414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002602673,0.00003874891,0.004116268,0.00003982295,0.00002584858,3.434589e-7,0.000144652,0.000002201413,0.9618669,0.00689061,0.0004473477,0.02640124],"study_design_scores_gemma":[0.0004227532,0.00007866513,0.05900456,0.000007441241,0.0000114695,0.000018908,0.0001408831,0.00005127613,0.879269,0.0002038325,0.06065455,0.0001366376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862276,0.0001275364,0.001797232,0.000943874,0.00005802867,0.00008795496,0.000007779126,0.00001166326,0.01073833],"genre_scores_gemma":[0.9972568,0.00006628923,0.0008509853,0.0001884358,0.0001669281,0.000002557057,0.00007063059,0.00001021084,0.001387125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08259787,"threshold_uncertainty_score":0.2737363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117877288171965,"score_gpt":0.2866769230521181,"score_spread":0.2748891942349216,"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."}}