{"id":"W2065503486","doi":"10.1016/j.ymeth.2004.11.001","title":"Regio- and stereospecific analysis of glycerolipids","year":2005,"lang":"en","type":"article","venue":"Methods","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Medical Research Council Canada","keywords":"Lipidomics; Chemistry; Electrospray ionization; Tandem mass spectrometry; Chromatography; Enantiomer; Mass spectrometry; Structural isomer; High-performance liquid chromatography; Diastereomer; Biochemistry; Stereochemistry","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":[0.000509914,0.0008189572,0.0002075618,0.0008110618,0.0003826381,0.0003390019,0.0006934888,0.000329024,0.002072165],"category_scores_gemma":[0.0004951863,0.0002587654,0.0003175975,0.0005965923,0.0004294607,0.0004810143,0.0005461872,0.001020164,0.001144996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973823,"about_ca_system_score_gemma":0.0006875127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671938,"about_ca_topic_score_gemma":0.003062303,"domain_scores_codex":[0.9996201,0.00005381376,0.00002148572,0.0001008941,0.000104265,0.00009948314],"domain_scores_gemma":[0.9997179,0.00005175192,0.0000417591,0.0000713687,0.00007154485,0.00004572408],"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":[0.0001156669,0.00001206104,0.0001719752,0.00003157871,0.000008851754,0.00002971711,0.00001879474,0.00005660993,0.9959309,0.0004962603,0.0000647333,0.003062929],"study_design_scores_gemma":[0.000004278356,0.0000269136,0.001272168,0.000003231118,0.000009461402,0.000109104,0.0000207239,0.000186025,0.9965791,0.0001125094,0.001669401,0.000007003651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8390509,0.004775418,0.1356459,0.0006561402,0.000157855,0.0002341719,0.004601714,0.0006410828,0.01423678],"genre_scores_gemma":[0.8986455,0.007010669,0.06862321,0.0004546503,0.00006777408,0.0004185736,0.00772128,0.0003749634,0.01668328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002072165,"threshold_uncertainty_score":0.00693208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867610237136753,"score_gpt":0.3542379394816695,"score_spread":0.335561837110302,"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."}}