{"id":"W4380869508","doi":"10.1007/s00216-023-04794-5","title":"Production and certification of BOTS-1: bovine muscle–certified reference material for incurred veterinary drug residues","year":2023,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; National Research Council Canada","funders":"National Research Council Canada; Canadian Food Inspection Agency","keywords":"Veterinary drug; Veterinary Drugs; Chemistry; Enrofloxacin; Clenbuterol; Certification; Chromatography; Food science; Veterinary medicine; Ciprofloxacin; Medicine; Antibiotics; Management; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005105779,0.0009107453,0.000533147,0.004074176,0.001305837,0.001025351,0.001677076,0.001600081,0.003295453],"category_scores_gemma":[0.003964367,0.000391937,0.0006417552,0.002175895,0.001240741,0.0004902089,0.0008628988,0.0008726594,0.002437727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892151,"about_ca_system_score_gemma":0.002489931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00944577,"about_ca_topic_score_gemma":0.01729146,"domain_scores_codex":[0.9906622,0.001363729,0.0005769034,0.001404157,0.005632631,0.0003604672],"domain_scores_gemma":[0.9962789,0.0001762765,0.0006652219,0.0004555591,0.002241028,0.0001829978],"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":[0.0005464529,0.0003592215,0.008140708,0.0005670012,0.00008811055,0.0003167218,0.0001889478,0.0008140952,0.9405145,0.0009379024,0.004750976,0.04277533],"study_design_scores_gemma":[0.0001312287,0.002591076,0.05347354,0.0007607671,0.0002394636,0.001767668,0.0002926542,0.004141759,0.8009967,0.0004931835,0.1350063,0.0001056414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8120542,0.01084381,0.1043316,0.001020795,0.001125895,0.003478975,0.02470526,0.001836616,0.0406029],"genre_scores_gemma":[0.7690155,0.004270202,0.1544855,0.001195965,0.0001598437,0.001464222,0.0457839,0.0005390435,0.02308585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00944577,"threshold_uncertainty_score":0.02700227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377777824843002,"score_gpt":0.2926746512655447,"score_spread":0.2288968730171147,"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."}}