{"id":"W4321376865","doi":"10.1097/tp.0000000000004539","title":"Proteomics: Its Promise and Pitfalls in Shaping Precision Medicine in Solid Organ Transplantation","year":2023,"lang":"en","type":"review","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Translational Research in Oncology; Arthritis Research Centre of Canada; Toronto General Hospital; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Transplantation; Biomarker discovery; Proteomics; Medicine; Biomarker; Intensive care medicine; Organ transplantation; Standardization; Bioinformatics; Computer science; Surgery; Biology","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":[0.004952355,0.001007515,0.002340204,0.00284477,0.0004644563,0.002759501,0.001428589,0.003032119,0.001973113],"category_scores_gemma":[0.00437627,0.000401397,0.001078769,0.003174458,0.002373563,0.004277045,0.001846803,0.005215948,0.001163456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785636,"about_ca_system_score_gemma":0.00296523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767971,"about_ca_topic_score_gemma":0.002514479,"domain_scores_codex":[0.9988886,0.0003761646,0.0001213723,0.00013744,0.0003891684,0.00008742814],"domain_scores_gemma":[0.9958746,0.002917739,0.0002161822,0.0001281712,0.0007046795,0.0001586442],"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":[0.00009166574,0.00007082447,0.000321915,0.02230153,0.0003029014,0.0002143895,0.0001600413,0.000977437,0.001285237,0.04087822,0.03946229,0.8939335],"study_design_scores_gemma":[0.00002298429,0.0001382208,0.001109441,0.01347216,0.0001643656,0.0007077549,0.0002265396,0.0005152593,0.0004530068,0.04059051,0.9425365,0.00006334435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005802312,0.9967764,0.0003463137,0.002054169,0.0003356052,0.000002795904,0.00001089414,0.0000087228,0.0004070076],"genre_scores_gemma":[0.0006787066,0.9974226,0.0004457035,0.0008821037,0.0004037889,0.000005273577,0.00001348218,0.000002409954,0.0001460042],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004952355,"threshold_uncertainty_score":0.02619088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285880975426744,"score_gpt":0.4094789908494301,"score_spread":0.2808908933067558,"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."}}