{"id":"W2984089837","doi":"10.2116/analsci.19p321","title":"Multivariate Analysis for Molecular Species of Cholesteryl Ester in the Human Serum","year":2019,"lang":"en","type":"article","venue":"Analytical Sciences","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Family Medicine","funders":"Japan Society for the Promotion of Science","keywords":"Chemistry; Principal component analysis; Cholesteryl ester; Population; Cholesterol; Multivariate analysis; Biochemistry; Quantitative analysis (chemistry); Metabolomics; Chromatography; Internal medicine; Lipoprotein","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":[],"consensus_categories":[],"category_scores_codex":[0.0008274472,0.00008932185,0.0003507428,0.0002298541,0.00004442516,0.00003955462,0.0002406594,0.00004130538,0.0001471722],"category_scores_gemma":[0.00007055091,0.00004824958,0.0002243592,0.001124348,0.0002494911,0.00008534823,0.00003391469,0.00008392765,0.00001166323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008782189,"about_ca_system_score_gemma":0.00002569652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008908825,"about_ca_topic_score_gemma":0.00004453463,"domain_scores_codex":[0.9988316,0.00004575097,0.0002654587,0.0002560165,0.0003728488,0.0002282977],"domain_scores_gemma":[0.9994622,0.0001299839,0.00006169581,0.0002482086,0.00004572332,0.00005211799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002620465,0.0002319336,0.9524406,0.00004873292,0.0001817498,0.000006442804,0.0007856938,0.0003155584,0.01760752,0.02760521,0.00003860546,0.0007118155],"study_design_scores_gemma":[0.0006895312,0.0001543337,0.9902489,0.00002476032,0.0004004348,0.000002137937,0.0004348595,0.004896226,0.001072911,0.0004350943,0.001569056,0.00007172161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914736,0.00003681402,0.0002932792,0.002200748,0.00004417795,0.000262131,0.000004462338,0.00000530022,0.005679504],"genre_scores_gemma":[0.9978702,0.000002393399,0.0002117185,0.0008859989,0.00005458841,0.00000575406,0.000003464529,0.000003055602,0.0009628227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0378084,"threshold_uncertainty_score":0.1967561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287141163845584,"score_gpt":0.3434821509336856,"score_spread":0.3006107392952297,"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."}}