{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592306,0.004807334,0.002059895,0.00377416,0.001941881,0.001476571,0.003288605,0.002326676,0.04190702],"category_scores_gemma":[0.0009987711,0.00150562,0.001939668,0.001616882,0.0009013501,0.001412727,0.002030098,0.00652828,0.0320422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291145,"about_ca_system_score_gemma":0.0008508956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701714,"about_ca_topic_score_gemma":0.001556888,"domain_scores_codex":[0.9967027,0.0005107535,0.0002632822,0.001236381,0.0006450596,0.0006417496],"domain_scores_gemma":[0.998323,0.0004204405,0.00008241015,0.0005277852,0.0004590833,0.0001872202],"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":[0.0002659948,0.0002778095,0.0001509134,0.0007549356,0.00007521577,0.0002349264,0.000087318,0.0001547494,0.9757113,0.003412156,0.00435691,0.01451769],"study_design_scores_gemma":[0.000213101,0.0008316581,0.002747815,0.0004180769,0.0002707386,0.003840944,0.0001276993,0.004925079,0.6972014,0.00236106,0.2869399,0.0001224516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05072005,0.03627171,0.7875026,0.002517271,0.005796239,0.003022984,0.007295115,0.01076135,0.09611269],"genre_scores_gemma":[0.1852907,0.03995191,0.5651083,0.003259246,0.002374442,0.008460148,0.0370659,0.003323505,0.1551659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04190702,"threshold_uncertainty_score":0.1401929,"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."}}