{"id":"W2507561324","doi":"10.1016/j.humimm.2016.07.018","title":"OR6 The positive virtual crossmatch. Correlation between HLA DSA and flow cytometry crossmatch results","year":2016,"lang":"en","type":"article","venue":"Human Immunology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Concordance; Human leukocyte antigen; Donor specific antibodies; Cutoff; Internal medicine; Antigen; Immunology","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":[0.001023338,0.0003872049,0.000222823,0.000994107,0.0002994444,0.0006704179,0.0003591558,0.0006784581,0.02756085],"category_scores_gemma":[0.00438418,0.00006712521,0.0003723933,0.0005560698,0.0003044675,0.0004948279,0.0005231919,0.0007143462,0.002399127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071828,"about_ca_system_score_gemma":0.0003443545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005897006,"about_ca_topic_score_gemma":0.001185177,"domain_scores_codex":[0.9990901,0.0003067902,0.0001069808,0.0001061507,0.0002168883,0.0001731744],"domain_scores_gemma":[0.9981158,0.0007742927,0.000615047,0.0001303241,0.0001967665,0.0001677665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006582792,0.0007966493,0.7506581,0.0009871142,0.0004020905,0.002024262,0.0002192373,0.0006037421,0.008806889,0.003916456,0.0578486,0.1671541],"study_design_scores_gemma":[0.0003607364,0.001510756,0.8145686,0.0004497378,0.000476487,0.01353639,0.0008329638,0.006415671,0.009821773,0.005777447,0.1461764,0.00007311472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486441,0.003876452,0.008099513,0.003008152,0.002161199,0.0003821545,0.02570842,0.0006573494,0.1074625],"genre_scores_gemma":[0.9812122,0.0005502044,0.00383191,0.001025533,0.0003524793,0.0001242039,0.003575906,0.00006064646,0.009266878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02756085,"threshold_uncertainty_score":0.09220028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246927954683436,"score_gpt":0.3051244942729727,"score_spread":0.2826552147261384,"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."}}