{"id":"W2810901593","doi":"10.5740/jaoacint.18-0071","title":"Analysis of Bisphenol A, Alkylphenols, and Alkylphenol Ethoxylates in NIST SRM 2585 and Indoor House Dust by Gas Chromatography-Tandem Mass Spectrometry (GC/MS/MS)","year":2018,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Health Canada","funders":"Health Canada; U.S. Food and Drug Administration","keywords":"Gas chromatography–mass spectrometry; Nonylphenol; Alkylphenol; Chromatography; Chemistry; Gas Chromatography/Tandem Mass Spectrometry; Extraction (chemistry); Mass spectrometry; Tetrabromobisphenol A; Bisphenol A; Paraben; Environmental chemistry; Derivatization; Preservative","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592049,0.0004520779,0.0002938899,0.001363582,0.0004379014,0.000342356,0.0005318773,0.0007838241,0.0007973296],"category_scores_gemma":[0.0006814116,0.0001919727,0.0003884997,0.0006244598,0.0002288224,0.0002846246,0.0003055939,0.00020778,0.0003639221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004767717,"about_ca_system_score_gemma":0.0005859478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003769256,"about_ca_topic_score_gemma":0.00870788,"domain_scores_codex":[0.9986279,0.0001312673,0.00008876745,0.0003647452,0.0007353703,0.00005197817],"domain_scores_gemma":[0.9997082,0.00004561062,0.0001075986,0.00001781335,0.0001052472,0.00001547521],"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":[0.0002323484,0.000120387,0.03222266,0.0001871157,0.0001261322,0.0001710097,0.00009352667,0.0005068682,0.9476398,0.00008283247,0.0002178797,0.01839931],"study_design_scores_gemma":[0.00003710834,0.0008795472,0.1787783,0.00005658417,0.0001948561,0.001320051,0.0001660489,0.006308214,0.8062368,0.0001680345,0.005808348,0.00004612437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767542,0.001228094,0.01807336,0.00003935547,0.00002984898,0.0001359503,0.001249811,0.0003814723,0.002107946],"genre_scores_gemma":[0.9542911,0.0009405946,0.03953925,0.0002272333,0.00002343801,0.0002624725,0.002425318,0.00005067437,0.002239923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003769256,"threshold_uncertainty_score":0.007494628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006020560688471416,"score_gpt":0.293688960418888,"score_spread":0.2876683997304166,"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."}}