{"id":"W4405288054","doi":"10.1016/j.aca.2024.343514","title":"Enhanced nano-LC-MS for analyzing dansylated oral cancer tissue metabolome dissolved in solvents with high elution strength","year":2024,"lang":"en","type":"article","venue":"Analytica Chimica Acta","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":"Chang Gung Memorial Hospital, Linkou; National Science and Technology Council","keywords":"Chemistry; Metabolome; Elution; Chromatography; Gradient elution; Nano-; High-performance liquid chromatography; Metabolomics; Chemical engineering","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":[0.0003196759,0.0005423506,0.0002685868,0.0002968671,0.0003373047,0.0002438877,0.0002651767,0.0004293421,0.002144472],"category_scores_gemma":[0.0003036973,0.0001690864,0.0002337321,0.0001766464,0.0002133797,0.0004000756,0.0003415199,0.0005812307,0.0007706217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312561,"about_ca_system_score_gemma":0.0004640273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009634212,"about_ca_topic_score_gemma":0.002532823,"domain_scores_codex":[0.9997708,0.00003550345,0.00001439919,0.00006425106,0.00008369344,0.00003131168],"domain_scores_gemma":[0.9998887,0.00003411436,0.00001578704,0.0000121042,0.00003421752,0.00001511179],"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":[0.00007154603,0.000009229224,0.0000613013,0.0000264262,0.000004614544,0.00001969504,0.000006994244,0.00003166789,0.9982957,0.00007968881,0.00003667386,0.001356467],"study_design_scores_gemma":[0.000009341465,0.00009926812,0.001236537,0.000004975633,0.00001534238,0.0002467558,0.00001426729,0.001521504,0.9938835,0.00008703513,0.002871402,0.00001022457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.730487,0.004344819,0.2511832,0.0004483741,0.0002795368,0.0004013888,0.002862432,0.001421035,0.008572203],"genre_scores_gemma":[0.7780434,0.003697251,0.199279,0.0009031435,0.0001020506,0.0006795764,0.002947118,0.0003195327,0.01402877],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002144472,"threshold_uncertainty_score":0.007174015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004974063869365,"score_gpt":0.2792040229033297,"score_spread":0.269154282264636,"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."}}