{"id":"W4310951870","doi":"10.1021/acs.jproteome.2c00388","title":"Acetic Acid Ion Pairing Additive for Reversed-Phase HPLC Improves Detection Sensitivity in Bottom-up Proteomics Compared to Formic Acid","year":2022,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Japan Society for the Promotion of Science; Core Research for Evolutional Science and Technology; Natural Sciences and Engineering Research Council of Canada; Japan Agency for Medical Research and Development","keywords":"Formic acid; Chemistry; Acetic acid; Peptide; Chromatography; Reversed-phase chromatography; Acetonitrile; High-performance liquid chromatography; Pairing; Analytical Chemistry (journal); Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.003270526,0.0001673749,0.0003634981,0.0007448777,0.0004863693,0.00007873477,0.0003545441,0.0001027507,0.0003812765],"category_scores_gemma":[0.0004974611,0.0001700477,0.0001734514,0.0009811337,0.00006063845,0.0002132545,0.0003036069,0.001767328,0.000004066509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437565,"about_ca_system_score_gemma":0.0002635466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000068781,"about_ca_topic_score_gemma":0.00004400092,"domain_scores_codex":[0.9974619,0.0001893938,0.0005975938,0.0003264578,0.0008412054,0.0005834454],"domain_scores_gemma":[0.9984177,0.0001875784,0.0003443756,0.0003297467,0.0005205928,0.0001999431],"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":[0.001182087,0.0003163219,0.00002627647,0.0001545934,0.0000254543,0.00002743918,0.0003342122,0.00003036038,0.9892241,0.0001155509,0.0003706033,0.00819305],"study_design_scores_gemma":[0.00170512,0.0009827071,0.00009922674,0.0001003181,0.00001093274,0.0001496356,0.00149078,0.001755745,0.9860416,0.003639361,0.003846322,0.0001782721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795738,0.00004489664,0.01640963,0.001055411,0.00005616853,0.002343888,0.0001490262,0.00004566867,0.0003215157],"genre_scores_gemma":[0.9762424,0.00001886309,0.02096202,0.00001808815,0.00025633,0.002091711,0.00001416511,0.00003694479,0.0003595194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008014778,"threshold_uncertainty_score":0.7678258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543582827463386,"score_gpt":0.3816512636097514,"score_spread":0.3262154353351175,"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."}}