{"id":"W2988339276","doi":"10.1002/pmic.201900029","title":"Targeted and Untargeted Proteomics Approaches in Biomarker Development","year":2019,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Genome British Columbia; Leading Edge Endowment Fund; Genome Canada","keywords":"Proteomics; Biomarker; Computational biology; Biomarker discovery; Biology; Genetics; Gene","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":[0.002380397,0.001421702,0.001804206,0.004237479,0.0004587675,0.001879178,0.001499645,0.002377792,0.003423555],"category_scores_gemma":[0.001599093,0.0005970883,0.0009428512,0.003884681,0.001361253,0.002881167,0.001437286,0.003281091,0.003084601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231426,"about_ca_system_score_gemma":0.001487388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009294616,"about_ca_topic_score_gemma":0.001329758,"domain_scores_codex":[0.9990282,0.0002142264,0.00009263019,0.0001768889,0.0004087457,0.00007925227],"domain_scores_gemma":[0.9989983,0.0005907911,0.0001207458,0.00004681192,0.0001867329,0.0000566097],"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":[0.00007600168,0.0001177294,0.0002285152,0.03447659,0.0001700565,0.0004245458,0.0001208984,0.0008899362,0.008701795,0.02711203,0.02442816,0.9032537],"study_design_scores_gemma":[0.000009806971,0.0001102894,0.0004188845,0.003352446,0.00008506022,0.001178247,0.00005493561,0.0001751081,0.003075474,0.006783206,0.9847202,0.00003639814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000896294,0.9972553,0.0008185598,0.000283722,0.0003007176,0.000008548936,0.0000149445,0.00001160319,0.001217009],"genre_scores_gemma":[0.0008515556,0.9970612,0.0008607252,0.0003189984,0.0002194387,0.00001500138,0.00002418504,0.000002974815,0.0006458781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004237479,"threshold_uncertainty_score":0.01258892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122620101831596,"score_gpt":0.3282536606979548,"score_spread":0.2056335588663588,"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."}}