{"id":"W2151797643","doi":"10.1016/j.mrgentox.2010.06.016","title":"Recent developments in quantitative proteomics","year":2010,"lang":"en","type":"review","venue":"Mutation Research/Genetic Toxicology and Environmental Mutagenesis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Caprion (Canada)","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences","keywords":"Proteomics; Context (archaeology); Shotgun proteomics; Computational biology; Quantitative proteomics; Mass spectrometry; Tandem mass spectrometry; Data science; Profiling (computer programming); Chemistry; Computer science; Chromatography; Biology; Biochemistry","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":[0.003396858,0.003313574,0.003239883,0.003008113,0.0004776946,0.001842773,0.002593437,0.001954149,0.00508279],"category_scores_gemma":[0.001934019,0.001427107,0.0009992369,0.003594711,0.00157346,0.003636201,0.002376539,0.003454676,0.007035661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343415,"about_ca_system_score_gemma":0.001325493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006948456,"about_ca_topic_score_gemma":0.0007631734,"domain_scores_codex":[0.9986084,0.0002216669,0.00008632926,0.000346458,0.0006492372,0.00008796086],"domain_scores_gemma":[0.9987054,0.0005987539,0.0001146993,0.0001016125,0.000400352,0.00007926112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427759,0.0001723861,0.0002045901,0.01175806,0.0001508858,0.0001407099,0.00004595252,0.00120642,0.05893745,0.01257826,0.03654212,0.8781203],"study_design_scores_gemma":[0.00003880309,0.0002249925,0.001005033,0.0007273245,0.0001673475,0.001026,0.00003992986,0.002618241,0.04137345,0.01035896,0.9423233,0.000096648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008127684,0.9235518,0.06168094,0.001543224,0.002691757,0.00008489692,0.0002361065,0.0004844115,0.008914155],"genre_scores_gemma":[0.004599652,0.9521567,0.02880456,0.001865453,0.003255158,0.000152215,0.0004464721,0.00009259729,0.008627124],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00508279,"threshold_uncertainty_score":0.01796448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08063634607613136,"score_gpt":0.3964585248230783,"score_spread":0.3158221787469469,"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."}}