{"id":"W2905598847","doi":"10.1039/9781788012737-00255","title":"Multisegment Injection–Capillary Electrophoresis–Mass Spectrometry: A Robust Platform for High Throughput Metabolite Profiling with Quality Assurance","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Quality assurance; Computer science; Multiplex; Workflow; Biomarker discovery; Capillary electrophoresis; Computational biology; Bioinformatics; Chemistry; Chromatography; Proteomics; Medicine; Database; Biology","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":[0.001038361,0.001219698,0.0008324307,0.001364759,0.00041682,0.001866028,0.00171658,0.001432479,0.006691324],"category_scores_gemma":[0.0005194182,0.0006731876,0.0005661322,0.001364917,0.0008289993,0.001753437,0.001300655,0.001794255,0.009659838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007820727,"about_ca_system_score_gemma":0.0007957428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563924,"about_ca_topic_score_gemma":0.0007999609,"domain_scores_codex":[0.9991783,0.00006110276,0.00002860706,0.0001768064,0.000518817,0.00003631447],"domain_scores_gemma":[0.99975,0.00006825416,0.00002685985,0.00002763842,0.0001056175,0.00002174912],"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":[0.0001199279,0.00009217608,0.0001846281,0.001256643,0.00004019661,0.0002626398,0.0001677958,0.001089065,0.4835265,0.01970051,0.04160328,0.4519566],"study_design_scores_gemma":[0.00001477297,0.0001525789,0.0006726338,0.0002114526,0.0000330682,0.001512362,0.00004027653,0.006073678,0.3231243,0.005896177,0.6621546,0.0001142836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01022876,0.1581019,0.7506315,0.002853336,0.003516208,0.0005431948,0.001486458,0.009083562,0.06355507],"genre_scores_gemma":[0.04776166,0.126837,0.6420408,0.002974727,0.001742699,0.0006665729,0.003292896,0.002385749,0.172298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006691324,"threshold_uncertainty_score":0.02238476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233470535545523,"score_gpt":0.2579728758079654,"score_spread":0.2346258222534131,"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."}}