{"id":"W4414834127","doi":"10.1007/s11306-025-02345-w","title":"Quantitative comparison of whole blood, plasma and serum metabolomes across different blood collection methods","year":2025,"lang":"en","type":"article","venue":"Metabolomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Canada Foundation for Innovation","keywords":"Blood collection; Metabolite; Whole blood; Venous blood; Yield (engineering); Peripheral blood","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005959108,0.0003345289,0.0009147641,0.0001561692,0.0002511287,0.00004444279,0.0002285283,0.0002174399,0.000009309602],"category_scores_gemma":[0.0004100399,0.0002925536,0.0001859973,0.0003871322,0.0002661997,0.00000847185,0.0004060158,0.0001859734,0.000001141115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007923742,"about_ca_system_score_gemma":0.00005134951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002726535,"about_ca_topic_score_gemma":0.0001196035,"domain_scores_codex":[0.9980407,0.0002792998,0.0005828627,0.0005689877,0.0001361698,0.0003920263],"domain_scores_gemma":[0.9989247,0.0001299867,0.000289334,0.0004006179,0.0001827042,0.00007269539],"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":[0.0002304764,0.0003972901,0.03943755,0.0000768954,0.001685735,5.389111e-7,0.0003166993,0.00002807154,0.9453261,0.007997458,0.0003706318,0.004132546],"study_design_scores_gemma":[0.001879659,0.0004547391,0.03402211,0.00001301415,0.0008111739,0.000004695448,0.001379679,0.0004963173,0.93925,0.0005804879,0.02082974,0.0002783676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657233,0.02496077,0.007636909,0.0002066529,0.0005331606,0.0002984631,0.000160064,0.0000189241,0.0004617559],"genre_scores_gemma":[0.9489914,0.004887562,0.0440762,0.00008123413,0.00005210812,0.00004815261,0.00004992834,0.0000261438,0.001787237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03643928,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212134661983085,"score_gpt":0.3597941632474529,"score_spread":0.3385806970491444,"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."}}