{"id":"W2056075909","doi":"10.1002/rcm.621","title":"Tandem mass spectra of tryptic peptides at signal‐to‐background ratios approaching unity using electrospray ionization high‐field asymmetric waveform ion mobility spectrometry/hybrid quadrupole time‐of‐flight mass spectrometry","year":2002,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Mass spectrometry; Protein mass spectrometry; Tandem mass spectrometry; Top-down proteomics; Analytical Chemistry (journal); Electrospray ionization; Quadrupole; Mass spectrum; Sample preparation in mass spectrometry; Electrospray; Tandem; Ion; Time-of-flight mass spectrometry; Hybrid mass spectrometer; Triple quadrupole mass spectrometer; Chromatography; Selected reaction monitoring; Ionization; Atomic physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001998236,0.001105656,0.001869319,0.004328234,0.0008812641,0.0002099964,0.003517424,0.0006181962,0.009816587],"category_scores_gemma":[0.0006538893,0.001236718,0.0006355529,0.01294728,0.0004872097,0.0006765653,0.0007475719,0.002123318,0.0001004927],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003882435,"about_ca_system_score_gemma":0.0001789686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003899755,"about_ca_topic_score_gemma":0.00005228076,"domain_scores_codex":[0.9919387,0.0005466323,0.00288363,0.001557142,0.001493222,0.00158065],"domain_scores_gemma":[0.9899631,0.001750941,0.001770637,0.005605523,0.0004644786,0.0004453788],"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":[0.00009761428,0.001933152,0.01391975,0.0003472877,0.0003072425,0.000006532468,0.0001830721,0.0003959718,0.9585746,0.02327511,0.0002379132,0.0007217467],"study_design_scores_gemma":[0.001432186,0.0007149832,0.003601755,0.0002679566,0.0002792815,0.00007448399,0.000536764,0.03790398,0.937217,0.01622188,0.0003332072,0.001416529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7465668,0.002725946,0.1930799,0.00118697,0.0001198147,0.001853849,0.0002783629,0.0006556751,0.0535326],"genre_scores_gemma":[0.7644848,0.001520145,0.2325853,0.00005548685,0.0001872563,0.0001829462,0.0002987752,0.0001584008,0.0005268694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05300573,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854207423954658,"score_gpt":0.2713460319937423,"score_spread":0.2428039577541957,"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."}}