{"id":"W4402507010","doi":"10.1016/j.humimm.2024.111005","title":"Comparative analysis of PAK LX and SAG in HLA class I antibody screening: Implications for transfusion medicine","year":2024,"lang":"en","type":"article","venue":"Human Immunology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Human leukocyte antigen; Transfusion medicine; Antibody; Immunology; Class (philosophy); Medicine; Blood transfusion; Antigen; Computer science; Artificial intelligence","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":[0.001396835,0.0003155518,0.0003871924,0.001905756,0.0002617041,0.001057492,0.0004606956,0.0005720625,0.002938979],"category_scores_gemma":[0.002544408,0.0002101066,0.0004828249,0.001117415,0.0005267838,0.0006417689,0.0006209958,0.0006173775,0.0009106988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755041,"about_ca_system_score_gemma":0.0002213767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005671981,"about_ca_topic_score_gemma":0.0005008758,"domain_scores_codex":[0.9990469,0.0005278046,0.00007226852,0.00008609397,0.0001359965,0.0001308784],"domain_scores_gemma":[0.9985965,0.0007429892,0.0001700517,0.0001037036,0.0001837194,0.0002030162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006671028,0.0003656213,0.6178982,0.0001421242,0.0002854791,0.001275847,0.0006007791,0.0008545567,0.3339444,0.002153923,0.0003010955,0.03550678],"study_design_scores_gemma":[0.00009844342,0.002830655,0.8874569,0.00005138136,0.0004129888,0.005722119,0.001745043,0.005688949,0.08959123,0.001411182,0.004956442,0.00003480846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960338,0.0004245593,0.001418539,0.00006798257,0.00001083638,0.000007675359,0.00008551371,0.00001417413,0.001936972],"genre_scores_gemma":[0.9981686,0.0001346383,0.0009918945,0.00003938328,0.000006831027,0.000006938719,0.0001801949,0.000009795544,0.0004618359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002938979,"threshold_uncertainty_score":0.009831905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440945457617935,"score_gpt":0.3904714152861087,"score_spread":0.3360619607099294,"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."}}