{"id":"W4387564051","doi":"10.1186/s12014-023-09431-y","title":"Redefining serological diagnostics with immunoaffinity proteomics","year":2023,"lang":"en","type":"review","venue":"Clinical Proteomics","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Multiplex; Serology; Immunoassay; Proteomics; Computational biology; Antibody; Quantitative proteomics; Molecular diagnostics; Immunology; Biology; Medicine; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001010845,0.001155864,0.001209815,0.003031367,0.0002865777,0.001453254,0.0009874132,0.001700309,0.001634805],"category_scores_gemma":[0.000887388,0.00050517,0.0007095829,0.002414965,0.0006371208,0.001722219,0.0009423465,0.002349167,0.00260315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008307188,"about_ca_system_score_gemma":0.0009173353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007214923,"about_ca_topic_score_gemma":0.001023325,"domain_scores_codex":[0.999467,0.0001004711,0.00004508658,0.00008338426,0.0002558005,0.00004834304],"domain_scores_gemma":[0.9996012,0.0001997339,0.00003931228,0.00002116998,0.0001181365,0.00002048975],"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":[0.00004133736,0.00009490285,0.000242719,0.01828785,0.0001200749,0.00030787,0.00009099367,0.0006416943,0.01423736,0.01684753,0.02301519,0.9260725],"study_design_scores_gemma":[0.000007067847,0.00006985355,0.0004443354,0.001461407,0.00006754824,0.001025784,0.00004612535,0.0003422705,0.005355965,0.004179119,0.9869691,0.00003141195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003418729,0.9935547,0.002396054,0.0004606029,0.0004639922,0.00001355094,0.00003069551,0.00003111628,0.002707458],"genre_scores_gemma":[0.001847949,0.9938493,0.002035404,0.0004650332,0.0002117695,0.00001842081,0.00006518599,0.000006440176,0.001500549],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003031367,"threshold_uncertainty_score":0.006027341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1900200347325322,"score_gpt":0.3793211498419249,"score_spread":0.1893011151093927,"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."}}