{"id":"W1608700321","doi":"10.1385/1-59259-064-0:195","title":"Immunochemical Method for Citrinin","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Citrinin; Penicillium citrinum; Penicillium; Metabolite; High-performance liquid chromatography; Fermentation; Chromatography; Chemistry; Mycotoxin; Liquid culture; Homogeneous; Biology; Botany; Food science; Biochemistry; Mathematics","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":[0.000128953,0.00009461436,0.00009792057,0.00001245983,0.00007848218,0.00001774353,0.0001462721,0.00008843379,0.0000116619],"category_scores_gemma":[0.00004175305,0.00009409354,0.00008166763,0.000006427199,0.00003334407,7.131743e-7,0.00003758754,0.00004411528,0.000002506821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002480703,"about_ca_system_score_gemma":0.00002017328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217587,"about_ca_topic_score_gemma":0.000002963265,"domain_scores_codex":[0.9993905,0.00003708673,0.0001303262,0.0002399632,0.00003681038,0.000165264],"domain_scores_gemma":[0.9995394,0.00001172725,0.00004063186,0.0003216197,0.00004390105,0.00004272129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001560538,0.00001776846,5.101015e-7,0.0000098556,0.00002373583,9.430229e-8,0.00002327948,0.000001685999,0.9164906,0.06936809,0.006380498,0.007668295],"study_design_scores_gemma":[0.0002391593,0.00001273921,0.000004965842,0.000001281513,0.00001269149,0.000002321696,0.000003756086,0.000003325638,0.4858373,0.0004487618,0.5133664,0.00006724796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1815041,0.01892393,0.5077602,0.00005978343,0.0005846426,0.002613471,0.0002351765,0.0001173206,0.2882015],"genre_scores_gemma":[0.7430133,0.0004222984,0.2025075,0.001231094,0.001071761,0.001471458,0.0002225224,0.0001345029,0.04992557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5615092,"threshold_uncertainty_score":0.3837023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622731832692092,"score_gpt":0.3191912598003546,"score_spread":0.2829639414734336,"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."}}