{"id":"W2035124181","doi":"10.1021/ac026127j","title":"Abundance Ratio-Dependent Proteomic Analysis by Mass Spectrometry","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Proteomics; Mass spectrometry; Quantitative proteomics; Tandem mass spectrometry; Tandem mass tag; Chromatography; Computational biology; Bottom-up proteomics; Isobaric labeling; Protein mass spectrometry; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001427388,0.0002763151,0.000378001,0.00004218145,0.0001395655,0.00007284505,0.0003623255,0.0002366762,0.00592832],"category_scores_gemma":[0.0001214194,0.000287418,0.0002711472,0.0007212964,0.000123719,0.00007983392,0.00003962965,0.0004688494,0.00005351016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154426,"about_ca_system_score_gemma":0.00005802416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009770329,"about_ca_topic_score_gemma":5.981616e-7,"domain_scores_codex":[0.9981646,0.00001031368,0.0004232962,0.0006464709,0.0003131737,0.0004421234],"domain_scores_gemma":[0.9986834,0.0000527222,0.0001553261,0.0008046112,0.0000721976,0.0002317243],"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":[0.000008987628,0.0001090073,0.003217165,0.00005413564,0.0002714147,0.000005772278,0.000004172988,0.0000650907,0.9929774,0.002409997,0.0008338629,0.00004303941],"study_design_scores_gemma":[0.0002131828,0.000004945997,0.0000112793,0.00000810444,0.0003015017,0.00000771503,0.00002758209,0.00197375,0.988668,0.004666091,0.00377386,0.0003439492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3342563,0.0002274276,0.4960825,0.0003266675,0.000009452626,0.0001902501,0.0001461978,0.0003645793,0.1683966],"genre_scores_gemma":[0.9533963,0.00006350367,0.02496891,0.00007277483,0.00006863474,0.0001696034,0.0001358322,0.00003674965,0.02108771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.61914,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007476575652583742,"score_gpt":0.2623163553890405,"score_spread":0.2548397797364567,"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."}}