{"id":"W2055415751","doi":"10.1097/00007890-201007272-00369","title":"A QUANTITATIVE PROTEOMICS APPROACH FOR IDENTIFICATION OF POTENTIAL BIOMARKERS IN TRANSPLANT TOLERANCE","year":2010,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Identification (biology); Computational biology; Proteomics; Quantitative proteomics; Medicine; Biology; Genetics","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":[0.002179484,0.0007732935,0.0009196702,0.002635188,0.0007757591,0.001468192,0.001009122,0.001123958,0.004128048],"category_scores_gemma":[0.002503218,0.0004586636,0.0005692638,0.001879755,0.0004666485,0.0009482806,0.000778495,0.001101812,0.001321652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101042,"about_ca_system_score_gemma":0.0006044506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931652,"about_ca_topic_score_gemma":0.0009911866,"domain_scores_codex":[0.9990612,0.0002631354,0.0000516244,0.0002180579,0.0003396261,0.00006645883],"domain_scores_gemma":[0.9993746,0.0002456854,0.00008720133,0.00005482014,0.0001740528,0.00006368126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005272031,0.0002264136,0.005108427,0.0005344462,0.0001160556,0.0001558008,0.00005544986,0.0007736225,0.9100437,0.002449646,0.00466305,0.07534606],"study_design_scores_gemma":[0.0002048368,0.001367904,0.03728474,0.000140364,0.0004187019,0.002439919,0.0001851791,0.04578914,0.8684453,0.01153214,0.03194733,0.000244486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3495423,0.06087983,0.5488657,0.006524395,0.002288357,0.001415612,0.01328085,0.002319773,0.01488316],"genre_scores_gemma":[0.5525921,0.01938589,0.4066494,0.001765444,0.0007261576,0.001766659,0.004695694,0.0002264404,0.01219224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004128048,"threshold_uncertainty_score":0.01380968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614515397390164,"score_gpt":0.3284618215912689,"score_spread":0.3023166676173672,"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."}}