{"id":"W1996190758","doi":"10.1080/02652030802189740","title":"Multi-residue quantitation of aminoglycoside antibiotics in kidney and meat by liquid chromatography with tandem mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Chromatography; Chemistry; Dihydrostreptomycin; Solid phase extraction; Aminoglycoside; Liquid chromatography–mass spectrometry; Spectinomycin; Tandem mass spectrometry; Detection limit; Mass spectrometry; Neomycin; Selected reaction monitoring; Streptomycin; Antibiotics; Biochemistry","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":[0.0001167717,0.0002852259,0.0006058545,0.0003491667,0.00008701468,0.00001095503,0.00008781732,0.0001189504,0.00005844131],"category_scores_gemma":[0.000121144,0.0002437127,0.00007806564,0.000512528,0.0005105248,0.0001149352,0.00003500875,0.0002226152,0.000005348751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364062,"about_ca_system_score_gemma":0.000113992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003737819,"about_ca_topic_score_gemma":0.0000583043,"domain_scores_codex":[0.9983677,0.00006036457,0.0004431301,0.0004179358,0.0003164843,0.0003943786],"domain_scores_gemma":[0.9990678,0.000117288,0.0002101923,0.0002189913,0.0001291784,0.0002564994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001253741,0.001286779,0.5382153,0.0003553064,0.0004294051,0.0003703625,0.001237363,0.000002253365,0.4536377,0.0002048555,0.002798015,0.0002088677],"study_design_scores_gemma":[0.006155902,0.00484371,0.587374,0.001061252,0.0001574612,0.0001350695,0.0005490672,0.0003835034,0.3980623,0.000003108927,0.0009590845,0.0003155587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960015,0.0008788417,0.001679381,0.0001090356,0.00007559507,0.0005251705,0.0003614728,0.0000347153,0.0003342328],"genre_scores_gemma":[0.9921322,0.00176792,0.005509974,0.0001484724,0.00005506966,0.000001680996,0.0001895895,0.00004333482,0.000151776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05557548,"threshold_uncertainty_score":0.9938315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117539979137835,"score_gpt":0.2720540599623184,"score_spread":0.2508786601709401,"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."}}