{"id":"W2010654487","doi":"10.1039/c2an35383k","title":"Quantification of Cry1Ab in genetically modified maize leaves by liquid chromatography multiple reaction monitoring tandem mass spectrometry using 18O stable isotope dilution","year":2012,"lang":"en","type":"article","venue":"The Analyst","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Chinese Academy of Agricultural Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences","keywords":"Isotope dilution; Bacillus thuringiensis; Chromatography; Chemistry; Genetically modified maize; Genetically modified organism; Selected reaction monitoring; Mass spectrometry; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Genetically modified crops; Isotope; Stable isotope ratio; Transgene; Biology; Biochemistry; Bacteria","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":[0.0003808712,0.0006105856,0.0003812455,0.0004541246,0.0002160233,0.000334139,0.0003488479,0.0004414257,0.0002823198],"category_scores_gemma":[0.0003782648,0.0002419192,0.0002451593,0.0004158677,0.0002797857,0.0003445926,0.0002133775,0.0005320361,0.0001868515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544942,"about_ca_system_score_gemma":0.0003423594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099721,"about_ca_topic_score_gemma":0.002468322,"domain_scores_codex":[0.9994891,0.00004393972,0.00002416453,0.000185518,0.0002231805,0.00003409581],"domain_scores_gemma":[0.9998154,0.00002566479,0.00007757721,0.00001290997,0.00005415018,0.00001432043],"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":[0.00001676445,0.000003538292,0.00009000759,0.00001231286,0.000002191468,0.000004527176,0.000004941074,0.00001817556,0.9991823,0.00001096098,0.000005624305,0.0006487364],"study_design_scores_gemma":[0.000008867466,0.0001200043,0.003981549,0.000003836928,0.00001869789,0.00008446219,0.00001211688,0.00149287,0.9933429,0.00004381703,0.0008807048,0.00001021882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297526,0.003515374,0.06311055,0.0001309114,0.00005624517,0.0001554307,0.00138307,0.0007056437,0.001190249],"genre_scores_gemma":[0.8263411,0.004090275,0.162708,0.0003183376,0.00004862123,0.0004331121,0.002071419,0.0001489272,0.003840254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001099721,"threshold_uncertainty_score":0.004023075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145243943335354,"score_gpt":0.2674398747593173,"score_spread":0.2459874353259638,"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."}}