{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003518088,0.0008429149,0.001726017,0.0002882011,0.0001286997,0.00009208528,0.0006228011,0.0009661586,0.00007371752],"category_scores_gemma":[0.00005967429,0.0007867803,0.0002237233,0.0004292456,0.0001168117,0.0001259418,0.0004759774,0.001076762,0.00006072265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520775,"about_ca_system_score_gemma":0.0005916621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001555573,"about_ca_topic_score_gemma":0.000008590948,"domain_scores_codex":[0.9967735,0.0000471102,0.001219008,0.001126469,0.0002108315,0.0006230719],"domain_scores_gemma":[0.998163,0.00008287749,0.0007102974,0.0008515528,0.00004467318,0.0001476269],"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":[0.00003200421,0.0001885118,0.00009705998,0.03629507,0.0001784765,0.000007507747,0.0001357755,0.000004453724,0.0008390885,0.0009568947,0.00004817286,0.961217],"study_design_scores_gemma":[0.0004580137,0.00001269687,0.000004204408,0.006132148,0.0001490137,0.00004438789,0.00002412536,0.0003423187,0.007722698,0.0009537928,0.9827764,0.001380168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003430577,0.982043,0.01035642,0.0000229511,0.00003846096,0.005372121,0.0001561738,0.0002629638,0.00140481],"genre_scores_gemma":[0.00001432714,0.6647962,0.3281698,0.00001060091,0.0000466132,0.005597446,0.0006994424,0.0001541343,0.0005114361],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9827282,"threshold_uncertainty_score":0.9994583,"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."}}