{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00139231,0.000761807,0.002765246,0.0003188375,0.0001152211,0.00006132798,0.001575585,0.001240427,0.0001570006],"category_scores_gemma":[0.0002040275,0.0006804108,0.001445377,0.001105221,0.0004394999,0.0001424428,0.0003251416,0.001752129,0.0002330091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648504,"about_ca_system_score_gemma":0.001041922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005812529,"about_ca_topic_score_gemma":0.000007637235,"domain_scores_codex":[0.9936625,0.0001351228,0.003894574,0.001397705,0.0003664933,0.0005436338],"domain_scores_gemma":[0.9935834,0.0004998458,0.002636536,0.002503094,0.0004500158,0.0003271196],"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":[0.00003811889,0.001687398,0.0002938372,0.005570881,0.000199303,0.000001282669,0.00002396022,0.00002884381,0.0005005134,0.009454064,0.0007816363,0.9814202],"study_design_scores_gemma":[0.0004089678,0.00007757214,0.0000235847,0.001581423,0.0001920066,0.00001323896,0.000008225547,0.00006287065,0.0001639877,0.01715422,0.979613,0.0007009002],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002231333,0.9174868,0.06701412,0.00005731871,0.00002661986,0.01074454,0.001294922,0.0003519462,0.002800561],"genre_scores_gemma":[0.0001086046,0.8636623,0.1056018,0.000005138455,0.0003184581,0.02834469,0.001530366,0.0001657018,0.0002629836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9807193,"threshold_uncertainty_score":0.9995647,"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."}}