{"id":"W4406894007","doi":"10.1016/j.chroma.2025.465732","title":"International interlaboratory study to normalize liquid chromatography-based mycotoxin retention times through implementation of a retention index system","year":2025,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian International Grains Institute; Canadian Food Inspection Agency; Carleton University; National Research Council Canada; Concordia University; Institute for Marine Biosciences; Agriculture and Agri-Food Canada","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; Veterinärmedizinische Universität Wien; Iowa State University; Universität Wien; Concordia University; Università degli Studi di Parma; Austrian Science Fund; Carleton University; Cranfield University; Genome Canada; Dipartimenti di Eccellenza; Mitacs","keywords":"Chemistry; Chromatography; Mycotoxin; Kovats retention index; Retention time; Index (typography); Gas chromatography; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09551658,0.002318654,0.001260127,0.003976796,0.002299559,0.003356823,0.002495643,0.002045286,0.003336249],"category_scores_gemma":[0.05218488,0.001022649,0.001923166,0.004652617,0.002332906,0.001409662,0.00396209,0.001595984,0.00253165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039241,"about_ca_system_score_gemma":0.008237613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004773967,"about_ca_topic_score_gemma":0.006631007,"domain_scores_codex":[0.8913934,0.05361709,0.009225519,0.01842382,0.02546953,0.001870781],"domain_scores_gemma":[0.9260293,0.01280846,0.007657462,0.01828274,0.03323165,0.001990342],"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":[0.006134146,0.004960977,0.2311255,0.003999828,0.006109014,0.0004049158,0.004723398,0.01113284,0.3914793,0.009243378,0.01802392,0.3126627],"study_design_scores_gemma":[0.001398736,0.01701587,0.3354459,0.001149756,0.003912671,0.00147217,0.001697685,0.0254039,0.4676344,0.004077581,0.1401963,0.0005949588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3716536,0.007597888,0.5548314,0.001468024,0.002084111,0.01484223,0.0102094,0.005334315,0.03197898],"genre_scores_gemma":[0.604322,0.001446713,0.3559109,0.001863819,0.0004098528,0.01088567,0.01654476,0.001216677,0.007399694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09551658,"threshold_uncertainty_score":0.505146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097118913109889,"score_gpt":0.2633576869500347,"score_spread":0.2523864978189358,"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."}}