{"id":"W2083021626","doi":"10.1021/jf0343231","title":"A Sensitive Method for Detection of Sulfamethazine and <i>N</i><sup>4</sup>-Acetylsulfamethazine Residues in Environmental Samples Using Solid Phase Immunoextraction Coupled with MALDI-TOF MS","year":2003,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Chemistry; Chromatography; Solid phase extraction; Mass spectrometry; Sample preparation; Extraction (chemistry); Matrix (chemical analysis); Analytical Chemistry (journal); Time-of-flight mass spectrometry; Trace Amounts; Matrix-assisted laser desorption/ionization; Desorption; Ionization; Adsorption; Ion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006087879,0.0003136084,0.000641487,0.00003789953,0.00008483401,0.00003017199,0.00007842403,0.00021698,0.00003885201],"category_scores_gemma":[0.0002698819,0.0002164816,0.0001261148,0.0001461059,0.0001435953,0.0001930168,0.00003398495,0.000400331,6.314829e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857187,"about_ca_system_score_gemma":0.0000532731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203305,"about_ca_topic_score_gemma":0.000002239501,"domain_scores_codex":[0.9983129,0.00005681857,0.000759768,0.0003081136,0.0002890042,0.0002734147],"domain_scores_gemma":[0.9984936,0.0003879319,0.0006952042,0.0001105455,0.0001544396,0.0001582553],"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":[0.0006339541,0.0002219363,0.0004205487,0.0004389152,0.0002728069,0.000009191731,0.0002887886,0.0003321336,0.9964944,0.000001483363,0.000001517744,0.0008843796],"study_design_scores_gemma":[0.003530433,0.000277965,0.001566543,0.0002290552,0.0002529127,0.002391148,0.004493271,0.001039803,0.9858082,0.00004931533,0.00006291078,0.0002984346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819986,0.0008037102,0.01690748,0.00005392032,0.00001153081,0.00009441332,0.0000494695,0.000007665451,0.00007323678],"genre_scores_gemma":[0.9209368,0.0002669038,0.07858613,0.000006466019,0.00009277693,0.000005637704,0.00001967633,0.00001726822,0.00006835602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06167864,"threshold_uncertainty_score":0.8827864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877156846312901,"score_gpt":0.2774962818433926,"score_spread":0.2587247133802636,"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."}}