{"id":"W1993445266","doi":"10.1016/j.tmrv.2005.08.006","title":"Proteomics: Applications Relevant to Transfusion Medicine","year":2005,"lang":"en","type":"review","venue":"Transfusion Medicine Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteomics; Transfusion medicine; Proteome; Computational biology; Computer science; Data science; Bioinformatics; Medicine; Biology; Immunology; Blood transfusion; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001310714,0.001429052,0.005305421,0.0004859855,0.0004137494,0.00001721442,0.001482371,0.0008220347,0.005960485],"category_scores_gemma":[0.0001724262,0.0009518661,0.0008877913,0.001483685,0.0003237646,0.0001015425,0.00009717827,0.001679018,0.0007228916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101692,"about_ca_system_score_gemma":0.0001883135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002676662,"about_ca_topic_score_gemma":0.0001434724,"domain_scores_codex":[0.9929363,0.0001670295,0.003708581,0.001751534,0.0006908078,0.0007457202],"domain_scores_gemma":[0.9953726,0.0002944491,0.0009593388,0.002470646,0.0001684951,0.0007344997],"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":[0.00001062761,0.0000881669,3.747024e-7,0.02121676,0.00003203617,0.000002725768,0.0001513943,5.641344e-7,0.001767947,0.0009108951,0.005519588,0.9702989],"study_design_scores_gemma":[0.0004710649,0.0001228139,5.025053e-8,0.06320162,0.001412181,0.0001010824,0.00002669151,0.00000417207,0.0001109647,0.0004069563,0.9333132,0.0008291892],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.145582e-7,0.8170158,0.1591116,0.00210956,0.00007759858,0.01085769,0.00009684297,0.0004444231,0.01028577],"genre_scores_gemma":[3.748366e-8,0.9261745,0.04260848,0.000474511,0.002977602,0.02375497,0.0007132838,0.0002544947,0.003042081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9694697,"threshold_uncertainty_score":0.9998459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06536149455685572,"score_gpt":0.3935350093596292,"score_spread":0.3281735148027735,"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."}}