{"id":"W2966116067","doi":"10.1080/19440049.2019.1643042","title":"LC-MS/MS analysis of bisphenol S and five other bisphenols in total diet food samples","year":2019,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Bisphenol S; Bisphenol A; Bisphenol; Food science; Chemistry; Food products; Chromatography; Organic chemistry; Epoxy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001658466,0.0002536947,0.0006041452,0.0001177156,0.00005169271,0.0000255582,0.0001983512,0.00007664824,0.003251943],"category_scores_gemma":[0.00011175,0.0002045856,0.0001551692,0.0005341183,0.0002455919,0.0002011589,0.0002371692,0.0001333828,0.00006924106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004434241,"about_ca_system_score_gemma":0.000009298385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009313534,"about_ca_topic_score_gemma":0.002457472,"domain_scores_codex":[0.9982947,0.00008131721,0.0003753571,0.0005499449,0.0002623104,0.0004363488],"domain_scores_gemma":[0.9989519,0.0004103461,0.0002004314,0.0003200282,0.0000135934,0.0001037383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000244143,0.0004563912,0.9665554,0.00006103248,0.0009284098,0.00001012139,0.002690073,0.0003576067,0.02138976,0.0002843289,0.000572051,0.006450732],"study_design_scores_gemma":[0.001156027,0.001796688,0.9776269,0.0001539372,0.0002486799,0.000002824785,0.0009709132,0.0006103613,0.0123907,0.00009582168,0.004538458,0.0004086411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947786,0.0001979215,0.00001054781,0.00002865071,0.00006568759,0.000411203,0.000968652,0.00002139015,0.00351729],"genre_scores_gemma":[0.9990165,0.00004050414,0.0001562551,0.00005618632,0.00002595483,0.00004073171,0.00006072145,0.00002270013,0.000580489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0110716,"threshold_uncertainty_score":0.9976592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246241413708504,"score_gpt":0.2843890453773201,"score_spread":0.271926631240235,"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."}}