{"id":"W4298003644","doi":"10.3390/toxins14100672","title":"Optimization of Aflatoxin B1-Lysine Analysis for Public Health Exposure Studies","year":2022,"lang":"en","type":"article","venue":"Toxins","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Aflatoxin; Digestion (alchemy); Chemistry; Carcinogen; Albumin; Pronase; Serum albumin; Food science; Chromatography; Aspergillus flavus; Mycotoxin; Aspergillus; Human serum albumin; Biochemistry; Biology; Trypsin; Enzyme; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532639,0.0001150343,0.0003617632,0.00004489886,0.0004378798,0.0000193542,0.0002379884,0.00003334798,0.0006059689],"category_scores_gemma":[0.00006484955,0.00004411146,0.0002315869,0.001618372,0.00003212662,0.00007460034,0.0001197883,0.00007827543,0.000001077418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006322956,"about_ca_system_score_gemma":0.00001472185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004061322,"about_ca_topic_score_gemma":0.0003775761,"domain_scores_codex":[0.998781,0.0001241548,0.0003298764,0.0002540006,0.0002561135,0.0002548254],"domain_scores_gemma":[0.9993441,0.0001429305,0.0002391781,0.00007533456,0.0001236487,0.0000748434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004642779,0.006075438,0.09652836,0.0003710348,0.01168292,0.00001054763,0.01445675,0.3016224,0.1724188,0.02346517,0.07702827,0.2958761],"study_design_scores_gemma":[0.003327856,0.02422984,0.2100886,0.00005506477,0.001842381,0.00003672717,0.05712837,0.01459915,0.01005829,0.002645258,0.6731616,0.002826886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829082,0.003287525,0.001116772,0.0105031,0.0002103345,0.0007018133,0.0006466897,0.0001105327,0.0005150602],"genre_scores_gemma":[0.9969653,0.000172551,0.001186399,0.0004532324,0.0001214942,0.000123637,0.0004931924,9.423919e-7,0.0004831986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5961333,"threshold_uncertainty_score":0.6634935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08772495241207647,"score_gpt":0.2807466182515819,"score_spread":0.1930216658395054,"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."}}