{"id":"W862078675","doi":"10.5740/jaoacint.14-263","title":"Determination of Triphenylmethane Dyes and Their Metabolites in Salmon, Catfish, and Shrimp by LC-MS/MS Using AOAC First Action Method 2012.25: Collaborative Study","year":2015,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Agricultural Research Service; Florida Department of Agriculture and Consumer Services; Canadian Food Inspection Agency; Dartmouth College; U.S. Department of Agriculture","keywords":"Shrimp; Malachite green; Crystal violet; Chemistry; Chromatography; Triphenylmethane; Residue (chemistry); Catfish; National laboratory; Fish <Actinopterygii>; Matrix (chemical analysis); Fishery; Biology; Engineering; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02402364,0.0009177296,0.001002771,0.001619137,0.001558862,0.001187756,0.001541689,0.00173716,0.0009537148],"category_scores_gemma":[0.010104,0.000564318,0.001494919,0.001685886,0.0008605247,0.000848736,0.001317319,0.000723978,0.0004793254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032731,"about_ca_system_score_gemma":0.005306527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009037055,"about_ca_topic_score_gemma":0.01734456,"domain_scores_codex":[0.9748232,0.007529476,0.002348566,0.003719781,0.0110422,0.000536785],"domain_scores_gemma":[0.9862779,0.0013656,0.002583744,0.001430832,0.007866809,0.0004750935],"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":[0.002521091,0.004583415,0.1521462,0.001028329,0.001428728,0.0003752224,0.001202516,0.003667488,0.7584514,0.0004083981,0.0008685314,0.0733187],"study_design_scores_gemma":[0.0006352326,0.038037,0.1857659,0.0001351783,0.001551758,0.001676414,0.0007338048,0.006549806,0.7533205,0.0002396533,0.01112697,0.000227706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491504,0.001127254,0.0421593,0.0001568715,0.00004306412,0.003312801,0.0009769581,0.000141313,0.002932012],"genre_scores_gemma":[0.8890513,0.0009199661,0.1016114,0.000375144,0.00003456972,0.002574399,0.00217699,0.00005017374,0.003206028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402364,"threshold_uncertainty_score":0.1270506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577899547163895,"score_gpt":0.3413359813625614,"score_spread":0.3055569858909225,"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."}}