{"id":"W318638857","doi":"10.1093/jaoac/92.1.181","title":"Determination of Deoxynivalenol in Soft Wheat by Immunoaffinity Column Cleanup and LC-UV Detection: Interlaboratory Study","year":2009,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Repeatability; Reproducibility; Chromatography; Mathematics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468604,0.0000917283,0.0001793429,0.00003840387,0.00005178229,0.00004502253,0.0002389667,0.00007096879,0.0001753294],"category_scores_gemma":[0.00008740195,0.00004203707,0.0000623553,0.0001511301,0.00002886879,0.0002708368,0.00002932944,0.0002014633,0.000002013541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005082747,"about_ca_system_score_gemma":0.00000788778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002881128,"about_ca_topic_score_gemma":0.0003698734,"domain_scores_codex":[0.9989725,0.00008352503,0.0004267484,0.0001145516,0.0003091817,0.00009349547],"domain_scores_gemma":[0.9992099,0.00009695281,0.0003309245,0.00002753999,0.0002904038,0.00004432591],"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":[0.0003546563,0.00136467,0.03397495,0.000005393242,0.00005263714,0.00002663392,0.001006719,0.000004303016,0.5191197,0.00002319812,0.00117256,0.4428946],"study_design_scores_gemma":[0.001260523,0.004188555,0.9632435,0.0001210002,0.00002965615,0.0001587598,0.003049987,0.0001954793,0.02305554,0.0007125446,0.003766072,0.0002183833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984113,0.0002546185,0.00007380835,0.0004174028,0.0002702569,0.000113842,0.00001495389,0.000005820584,0.0004379875],"genre_scores_gemma":[0.9994239,0.00008634041,0.0001193475,0.00008966138,0.0002095206,0.000001244823,0.000004616162,5.616707e-7,0.0000648455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9292685,"threshold_uncertainty_score":0.1919734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00793624389480763,"score_gpt":0.2275541454247416,"score_spread":0.219617901529934,"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."}}