{"id":"W1522833579","doi":"10.1002/jssc.201300779","title":"Tandem <scp>LC</scp> columns for the simultaneous retention of polar and nonpolar molecules in comprehensive metabolomics analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metabolomics; Chemistry; Tandem; Chromatography; Tandem mass spectrometry; Chemical polarity; Polar; Molecule; Mass spectrometry; Materials science; Organic chemistry","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":[0.0014121,0.0007377139,0.0004859091,0.0009236513,0.0005362981,0.0006923883,0.0006262446,0.0004960248,0.001565696],"category_scores_gemma":[0.0009267486,0.0003862434,0.0003499685,0.0008011379,0.0004814411,0.0007855873,0.0005794021,0.00105774,0.001505245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273264,"about_ca_system_score_gemma":0.001230595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005486638,"about_ca_topic_score_gemma":0.00225499,"domain_scores_codex":[0.9994181,0.0001314933,0.00003726479,0.0001299323,0.0002392525,0.00004391594],"domain_scores_gemma":[0.9995565,0.0001223169,0.00006785949,0.0000498778,0.0001506681,0.00005285366],"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":[0.000059868,0.00002230245,0.0002807471,0.00005695759,0.00001820073,0.00004095918,0.00001277978,0.00009108205,0.9853647,0.0001713605,0.0003256767,0.01355534],"study_design_scores_gemma":[0.00004005623,0.0004082413,0.005476017,0.00001675512,0.00008635345,0.00191266,0.00002123393,0.006717199,0.9762024,0.0005174931,0.008569616,0.00003193223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3558856,0.01049002,0.6171836,0.0010985,0.0002614265,0.0006374053,0.002254361,0.004665243,0.007523844],"genre_scores_gemma":[0.4790622,0.005560319,0.5056179,0.0007301443,0.0002427887,0.0005894003,0.002800194,0.0004751606,0.004922046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001565696,"threshold_uncertainty_score":0.007467926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600159818066632,"score_gpt":0.2930907441834811,"score_spread":0.2770891460028148,"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."}}