{"id":"W120132541","doi":"10.1007/978-1-4614-3828-1_1","title":"Internal Standards for Quantitative LC-MS Bioanalysis","year":2012,"lang":"te","type":"book-chapter","venue":"","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"BioPhage Pharma (Canada); Micropharma (Canada)","funders":"","keywords":"Bioanalysis; Analyte; Internal standard; Chromatography; Sample (material); Sample preparation; Chemistry; Mass spectrometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001410012,0.0007076534,0.001331478,0.0001009011,0.0004870684,0.0002111269,0.0006876164,0.0005446748,0.03464542],"category_scores_gemma":[0.0002226799,0.000267162,0.001880468,0.0001822505,0.0003411837,0.0002050884,0.0002301302,0.000346722,0.0003377899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714996,"about_ca_system_score_gemma":0.00007851639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493038,"about_ca_topic_score_gemma":0.005083122,"domain_scores_codex":[0.9963222,0.00008602436,0.00102837,0.0008549461,0.0009396453,0.0007688666],"domain_scores_gemma":[0.9968017,0.0009190986,0.0006825784,0.0002053088,0.0009706637,0.0004206593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004633506,0.0001487649,0.002332426,0.00005656666,0.003321754,0.00001328761,0.00008897707,0.00001598483,0.001946512,0.6856071,0.004897,0.3011083],"study_design_scores_gemma":[0.0003265746,0.001065803,0.007943162,0.0002411973,0.002559495,0.000007141083,0.0003174431,0.0009344698,0.0002934845,0.01260809,0.9724892,0.001213953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007618901,0.02811345,0.0125289,0.00830521,0.0009553611,0.001645886,0.01148607,0.0002197464,0.9291265],"genre_scores_gemma":[0.6340663,0.01616068,0.003487639,0.0008876763,0.002604604,0.00005229478,0.001406306,0.00002064402,0.3413138],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9675922,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210960461637426,"score_gpt":0.3004985028771082,"score_spread":0.2483888982607339,"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."}}