{"id":"W4407302508","doi":"10.1016/j.foodres.2025.115982","title":"Selective extraction of zearalenone from corn steep liquor for raw material of standard substance using polyamide membrane","year":2025,"lang":"en","type":"article","venue":"Food Research International","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Zearalenone; Raw material; Extraction (chemistry); Polyamide; Pulp and paper industry; Chemistry; Corn steep liquor; Chromatography; Membrane; Food science; Mycotoxin; Organic chemistry; Biochemistry; Engineering","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":[0.0002514168,0.0006509297,0.0003512622,0.0004228423,0.000380201,0.0002553899,0.0003425742,0.0003489245,0.001005766],"category_scores_gemma":[0.0002951087,0.0002224153,0.0004433886,0.0003881447,0.0002514019,0.0004497208,0.0003879487,0.000459063,0.0005846451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003300306,"about_ca_system_score_gemma":0.0006257569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362674,"about_ca_topic_score_gemma":0.002843814,"domain_scores_codex":[0.9996868,0.00002984648,0.00002462378,0.00009523796,0.0001084659,0.00005501558],"domain_scores_gemma":[0.9998969,0.00002600099,0.0000192744,0.00001318509,0.00003481437,0.00000974969],"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":[0.00009605919,0.000006582433,0.0002188868,0.00004576274,0.000006288445,0.00008068339,0.00001626172,0.00004199442,0.9972463,0.00005939752,0.00002684934,0.002154954],"study_design_scores_gemma":[0.000003597531,0.00006280051,0.0007541414,0.000004151218,0.000006185308,0.00008525382,0.0000136592,0.0002628992,0.9977464,0.0000180293,0.001038417,0.000004454384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933885,0.002466344,0.05849402,0.0001355197,0.00006867226,0.0002596401,0.0008817857,0.0003264126,0.003482716],"genre_scores_gemma":[0.9529275,0.002057233,0.03541908,0.0001000604,0.00001943077,0.0001457087,0.00135483,0.00005527325,0.007920923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362674,"threshold_uncertainty_score":0.003364623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0947391480932072,"score_gpt":0.4317756607726758,"score_spread":0.3370365126794686,"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."}}