{"id":"W3022389204","doi":"10.5740/jaoacint.sgewang","title":"Applications of LC/ESI-MS/MS and UHPLC/Qq-TOF-MS for the Determination of 141 Pesticides in Tea","year":2011,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Repeatability; Chromatography; Chemistry; Electrospray ionization; Pesticide; Mass spectrometry; Electrospray; Matrix (chemical analysis); Analytical Chemistry (journal)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447059,0.0009636493,0.0005997765,0.0008729309,0.0003321958,0.0005161906,0.0006011537,0.0008927201,0.0011803],"category_scores_gemma":[0.001753558,0.0003153966,0.000604154,0.0006663501,0.0005033166,0.0007262491,0.0008826476,0.000576041,0.0008119723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175042,"about_ca_system_score_gemma":0.0005052114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003055297,"about_ca_topic_score_gemma":0.0004519461,"domain_scores_codex":[0.9987887,0.0002222404,0.0001099682,0.0003012007,0.0005103621,0.00006756981],"domain_scores_gemma":[0.9990959,0.0003077989,0.000170997,0.00007818589,0.0002714407,0.00007569253],"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":[0.0003731767,0.00009272277,0.002646604,0.0006027533,0.00008269284,0.0002148306,0.00009611667,0.0008904348,0.8982922,0.0004666135,0.0002218977,0.09601996],"study_design_scores_gemma":[0.00009014851,0.00253128,0.01608453,0.0000745137,0.0002080518,0.003563369,0.000147121,0.008677443,0.9537214,0.001137594,0.01363866,0.0001258798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6265054,0.07176143,0.2849793,0.0006358378,0.0004834637,0.0009014886,0.00208932,0.002096286,0.01054748],"genre_scores_gemma":[0.6287553,0.0154602,0.3486727,0.0009208033,0.0001812291,0.0008767596,0.001036943,0.0001054748,0.00399063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447059,"threshold_uncertainty_score":0.007652938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706782219198211,"score_gpt":0.2637358374945536,"score_spread":0.2366680153025715,"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."}}