{"id":"W4402792167","doi":"10.1021/acsomega.4c03955","title":"Trypsin Digestion Conditions of Human Plasma for Observation of Peptides and Proteins from Tandem Mass Spectrometry","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Taiwan University","keywords":"Trypsin; Human plasma; Digestion (alchemy); Tandem mass spectrometry; Chromatography; Chemistry; Mass spectrometry; Protein mass spectrometry; Tandem; Tandem mass tag; Biochemistry; Proteomics; Enzyme; Quantitative proteomics; Materials science","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":[0.0000459972,0.00008164224,0.0001333026,0.00005197887,0.00006488906,0.00001784154,0.00007590868,0.00008601852,0.00001672454],"category_scores_gemma":[0.00003515238,0.00008403618,0.00004124349,0.0001268109,0.00006374835,0.0001115408,0.00001850171,0.0000867514,6.114495e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003471634,"about_ca_system_score_gemma":0.00001882749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003425457,"about_ca_topic_score_gemma":0.000007108576,"domain_scores_codex":[0.999437,0.000003329821,0.0002258301,0.0001758963,0.00007450096,0.00008341476],"domain_scores_gemma":[0.999544,0.0001113408,0.000103572,0.0001651304,0.0000528183,0.00002309628],"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":[0.000005832712,0.00002685744,0.001193816,0.0001439738,0.00002172621,2.119131e-7,0.00004704655,0.000004823756,0.949901,0.04817176,0.00008903475,0.0003938774],"study_design_scores_gemma":[0.0001578456,0.00004121359,0.001323738,0.0001451711,0.00002926595,7.182928e-7,0.0000513648,0.00030658,0.8676264,0.1295878,0.0006532975,0.00007670816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681669,0.0001152828,0.02999849,0.0001592888,0.000009826525,0.0002943347,0.0005750774,0.0000925482,0.0005881739],"genre_scores_gemma":[0.9333476,0.00003959921,0.06558229,0.000004566172,0.00005497067,0.0002892262,0.0003480305,0.00001695753,0.0003167844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08227469,"threshold_uncertainty_score":0.3426896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404911929504933,"score_gpt":0.2966303079104949,"score_spread":0.2725811886154456,"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."}}