{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001637653,0.002550991,0.002683033,0.006176451,0.0005731843,0.002101627,0.001300587,0.002580513,0.004239878],"category_scores_gemma":[0.0017696,0.0006770855,0.0006789982,0.0066043,0.00107817,0.003529496,0.001597443,0.002774219,0.005105597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00093554,"about_ca_system_score_gemma":0.001939655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007090599,"about_ca_topic_score_gemma":0.001829251,"domain_scores_codex":[0.9993876,0.00008790937,0.00008125597,0.0000933074,0.0003005521,0.00004935964],"domain_scores_gemma":[0.9988668,0.0003969488,0.0001746789,0.00004095589,0.0003625849,0.0001580721],"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":[0.0001030961,0.000119243,0.0001039056,0.01026209,0.00007763437,0.0002204749,0.00004786538,0.0003820093,0.004677658,0.001969216,0.07416166,0.9078751],"study_design_scores_gemma":[0.00003360686,0.0001290871,0.000570325,0.002419609,0.0001142093,0.001219684,0.0000434035,0.0001551207,0.001217195,0.00197528,0.992093,0.00002942813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001011017,0.9961181,0.0007949037,0.0003976545,0.00119265,0.0000125311,0.00001669332,0.00002952178,0.001336824],"genre_scores_gemma":[0.0005104322,0.9941473,0.001035018,0.0007193426,0.001218111,0.0000205417,0.0000378336,0.000004858975,0.00230654],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006176451,"threshold_uncertainty_score":0.01418382,"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."}}