{"id":"W2160480165","doi":"10.1021/jf801008s","title":"Diagnostic Determination of Melamine and Related Compounds in Kidney Tissue by Liquid Chromatography/Tandem Mass Spectrometry","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Melamine detection and toxicity","field":"Agricultural and Biological Sciences","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; University of Guelph","keywords":"Melamine; Chromatography; Chemistry; Cyanuric acid; Analyte; High-performance liquid chromatography; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; Detection limit","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004606628,0.0006310378,0.0004872488,0.001760838,0.0004369283,0.0005486426,0.000492417,0.001012919,0.0005716668],"category_scores_gemma":[0.0006842183,0.0002754463,0.0003049099,0.0005668622,0.0004568511,0.0003722013,0.0003320359,0.000517161,0.0005081274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168895,"about_ca_system_score_gemma":0.0005669006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760412,"about_ca_topic_score_gemma":0.004374008,"domain_scores_codex":[0.9994698,0.00008118132,0.00003592375,0.0001501972,0.0002169109,0.00004585179],"domain_scores_gemma":[0.9995891,0.0000684865,0.0001309483,0.000022963,0.0001372699,0.00005122646],"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":[0.0001345599,0.00003154273,0.005054237,0.00005801718,0.00002875462,0.0002207695,0.00002467106,0.00004219612,0.989386,0.00004767173,0.00005999257,0.004911571],"study_design_scores_gemma":[0.00002165863,0.0003913713,0.03737565,0.00002263877,0.00008358356,0.00280189,0.00007315974,0.003415643,0.9527327,0.0001580799,0.002891221,0.00003237453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072314,0.01004753,0.07596198,0.0002626538,0.0001101647,0.000305803,0.001408426,0.0009035154,0.003768554],"genre_scores_gemma":[0.8901939,0.005840278,0.09591359,0.0007719728,0.00006266928,0.0002658031,0.001266071,0.00007888364,0.005606688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001760838,"threshold_uncertainty_score":0.003750324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007135503252982951,"score_gpt":0.1912888726553738,"score_spread":0.1841533694023909,"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."}}