{"id":"W2118183539","doi":"10.1586/erm.10.119","title":"Identifying biomarkers as diagnostic tools in kidney transplantation","year":2011,"lang":"en","type":"article","venue":"Expert Review of Molecular Diagnostics","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Biomarker; Biomarker discovery; Medicine; Transplantation; Kidney transplantation; Intensive care medicine; Clinical Practice; Bioinformatics; Surrogate endpoint; Pathology; Internal medicine; Proteomics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01285536,0.0007467694,0.001759959,0.003907321,0.0004548936,0.004147766,0.0008769743,0.002678818,0.001355604],"category_scores_gemma":[0.01353761,0.000453106,0.0004914892,0.002262861,0.001780964,0.002912494,0.001314953,0.0024588,0.0007314598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054303,"about_ca_system_score_gemma":0.002199062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006169707,"about_ca_topic_score_gemma":0.0006407003,"domain_scores_codex":[0.9964865,0.001907408,0.0003356029,0.0001879582,0.0009446549,0.0001378672],"domain_scores_gemma":[0.9917753,0.005803294,0.001001949,0.000178343,0.001001943,0.0002391196],"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":[0.000521244,0.0002659179,0.03387951,0.003454948,0.0002395549,0.001242944,0.0003898659,0.001428623,0.006800099,0.0385082,0.01533054,0.8979386],"study_design_scores_gemma":[0.0003129256,0.002331556,0.05285497,0.01199414,0.001152251,0.01178261,0.002075058,0.01044199,0.03071615,0.3282696,0.5475943,0.0004744516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0097755,0.9386352,0.0168474,0.0285741,0.001487931,0.00008282714,0.00008610967,0.00007850835,0.004432451],"genre_scores_gemma":[0.1403978,0.787434,0.05504401,0.009575455,0.00507443,0.0001938692,0.0001288682,0.00002793564,0.002123595],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01285536,"threshold_uncertainty_score":0.06798649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399281830942545,"score_gpt":0.3475951513406365,"score_spread":0.303602333031211,"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."}}