{"id":"W2149613372","doi":"10.1002/prca.201400126","title":"Impact of allele‐specific peptides in proteome quantification","year":2015,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute","keywords":"Proteome; Biomarker discovery; Computational biology; Biomarker; Proteomics; Biology; Human proteome project; Bioinformatics; Genetics; Gene","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":[0.002474159,0.001132383,0.001227748,0.001924332,0.0002297324,0.001422021,0.001146357,0.001418486,0.001424729],"category_scores_gemma":[0.001712041,0.0004987486,0.0006676694,0.002064932,0.0009397191,0.002164405,0.001060285,0.00275774,0.001584236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006288422,"about_ca_system_score_gemma":0.0007264145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005199289,"about_ca_topic_score_gemma":0.0005855321,"domain_scores_codex":[0.998973,0.0001963903,0.00006582725,0.0002254034,0.0004821914,0.00005713229],"domain_scores_gemma":[0.9988828,0.0006417551,0.0001262073,0.00005744093,0.0002505079,0.00004121586],"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":[0.0001019649,0.0001142793,0.0005327223,0.01461663,0.0001917891,0.0003367956,0.00008777189,0.001054841,0.03816323,0.01748681,0.01246342,0.9148499],"study_design_scores_gemma":[0.00001868315,0.0002136014,0.001431978,0.001758208,0.0001691216,0.002298523,0.00006181626,0.0008350912,0.03969718,0.007801084,0.9456433,0.0000713391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008395117,0.9935902,0.002642475,0.0004108658,0.0003549671,0.000009084725,0.00003540795,0.00002393965,0.002093526],"genre_scores_gemma":[0.004888837,0.9898886,0.002841792,0.0005267544,0.0003361673,0.00001897308,0.00005648482,0.000009548499,0.001432757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002474159,"threshold_uncertainty_score":0.01308477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1921310245301015,"score_gpt":0.4930409324219298,"score_spread":0.3009099078918283,"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."}}