{"id":"W1997700713","doi":"10.1080/02652030802562946","title":"An isotope dilution headspace method with gas chromatography–mass spectrometry for determination of propylene oxide in food","year":2009,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Propylene oxide; Chemistry; Isotope dilution; Dilution; Chromatography; Mass spectrometry; Repeatability; Detection limit; Gas chromatography; Gas chromatography–mass spectrometry; Analytical Chemistry (journal); Oxide; Organic chemistry; Polymer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00114636,0.001287094,0.0006774396,0.001398622,0.0007719778,0.0003764075,0.001651303,0.001107047,0.00173672],"category_scores_gemma":[0.001560764,0.000626707,0.0005250916,0.001005606,0.0007199912,0.0006561333,0.0008068709,0.001044665,0.00121301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008327953,"about_ca_system_score_gemma":0.001353502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579613,"about_ca_topic_score_gemma":0.007161161,"domain_scores_codex":[0.9975677,0.000381047,0.00007468878,0.0004056702,0.001483228,0.0000877],"domain_scores_gemma":[0.9989518,0.0003229136,0.0001466339,0.0000911813,0.0004120827,0.00007549822],"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":[0.0001808126,0.00006389657,0.001615039,0.0001412983,0.00003555356,0.00005751172,0.00003018329,0.0001681772,0.9748215,0.0001930203,0.0003929051,0.0223001],"study_design_scores_gemma":[0.00003883851,0.0005661461,0.006903719,0.00001807609,0.00006644933,0.0008958861,0.00002740711,0.006481941,0.9762699,0.0002133488,0.008457585,0.00006056191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1624806,0.0108706,0.8131017,0.0003478909,0.0006398967,0.001426868,0.00179669,0.003257697,0.006077987],"genre_scores_gemma":[0.3511943,0.006723984,0.6278474,0.0007291631,0.0001648425,0.001571683,0.00160144,0.0002237349,0.009943428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002579613,"threshold_uncertainty_score":0.006062627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104258716513393,"score_gpt":0.3156916998068388,"score_spread":0.3052658281554995,"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."}}