{"id":"W2021934229","doi":"10.1039/c4ay01727g","title":"A multi-residue analysis of sulphonamides in edible animal tissues using QuEChERS extraction and HPLC-MS/MS","year":2014,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Quechers; Residue (chemistry); Chromatography; High-performance liquid chromatography; Chemistry; Extraction (chemistry); Solid phase extraction; Biology; Pesticide residue; Pesticide; Organic chemistry; Agronomy","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":[0.002027154,0.0001617444,0.0006633015,0.0001467098,0.00008035627,0.00004370121,0.0001416692,0.0001583901,0.0002299573],"category_scores_gemma":[0.0008632541,0.0000728878,0.000228248,0.001852278,0.0001292378,0.0001336938,0.00006327849,0.0001580835,0.000001618654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003328608,"about_ca_system_score_gemma":0.000008579243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054982,"about_ca_topic_score_gemma":0.004452739,"domain_scores_codex":[0.9980295,0.0006032414,0.0004870493,0.0003910442,0.0002054341,0.0002837156],"domain_scores_gemma":[0.9980782,0.001459617,0.0001533238,0.0000922405,0.00008309795,0.0001335601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008323955,0.0002251378,0.360118,0.00001878147,0.0005318321,0.000007324162,0.00008486651,0.001576665,0.5399787,0.001375503,0.00001055311,0.09598936],"study_design_scores_gemma":[0.00007445308,0.00007880096,0.6129712,0.0000130438,0.0005703763,0.000001344348,0.00008114328,0.3819299,0.003746797,0.0002337382,0.0001848031,0.0001143953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882569,0.0002339335,0.01079605,0.0002759014,0.00001706658,0.00006563196,0.000007018875,0.00001754816,0.0003299084],"genre_scores_gemma":[0.9083486,0.000102516,0.09135386,0.00004933899,0.00006596581,0.000002399074,0.00001249951,0.000001356732,0.00006343309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362319,"threshold_uncertainty_score":0.996039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08124156119405335,"score_gpt":0.4050864837513321,"score_spread":0.3238449225572788,"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."}}