{"id":"W2116974243","doi":"10.5740/jaoacint.15021","title":"High Throughput Analytical Techniques for the Determination and Confirmation of Residues of 653 Multiclass Pesticides and Chemical Pollutants in Tea by GC/MS, GC/MS/MS, and LC/MS/MS: Collaborative Study, First Action 2014.09","year":2015,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Chromatography; Pesticide; European union; Gas chromatography–mass spectrometry; Pesticide residue; Environmental chemistry; Mass spectrometry; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084101,0.0001298561,0.0003398873,0.00006883777,0.00007794365,0.00006588381,0.000155105,0.00009591734,0.00003030571],"category_scores_gemma":[0.0006593293,0.0000575272,0.00005329252,0.0001621618,0.0001824461,0.000354367,0.00005795918,0.0001268807,1.65795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007005155,"about_ca_system_score_gemma":0.00003273547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006729276,"about_ca_topic_score_gemma":0.001370847,"domain_scores_codex":[0.9985595,0.0000980157,0.0006413541,0.0001649667,0.0004220783,0.0001140523],"domain_scores_gemma":[0.9977981,0.0007925649,0.0006071845,0.00003904645,0.0006909091,0.00007216749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004008279,0.002108332,0.5330895,0.0001239138,0.001043411,0.00002852979,0.003904623,0.000208844,0.2870752,0.001267762,0.009397789,0.1577439],"study_design_scores_gemma":[0.001570692,0.001431317,0.9361362,0.0001797977,0.0002429483,0.00006268429,0.002503098,0.009789218,0.04523917,0.001340478,0.001297063,0.0002073247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996097,0.0003089214,0.0002188799,0.002844641,0.00006237442,0.0002474267,0.0001404654,0.000004782758,0.00007550116],"genre_scores_gemma":[0.9985867,0.0005523965,0.000583912,0.00003128107,0.0001995272,0.000007098305,0.00001544471,0.00000169104,0.0000219282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4030468,"threshold_uncertainty_score":0.2345891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294622096688201,"score_gpt":0.3092428456539509,"score_spread":0.2797806359851308,"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."}}