{"id":"W1977134728","doi":"10.1016/j.humimm.2011.07.093","title":"68-P DRB1*08 with DRB3*????? – typing encountered during deceased donor workup","year":2011,"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":"McMaster University Medical Centre","funders":"","keywords":"Typing; Medicine; Computer science; Speech recognition","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":[0.0003004081,0.0003995769,0.0002269507,0.0006838295,0.00147225,0.0005855971,0.0003633212,0.0007468937,0.008667058],"category_scores_gemma":[0.002410685,0.0002400771,0.0002069386,0.0004656228,0.0003665798,0.0004766755,0.0004239718,0.001191144,0.001281757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364851,"about_ca_system_score_gemma":0.0002876779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004421146,"about_ca_topic_score_gemma":0.002835296,"domain_scores_codex":[0.9993364,0.0001391275,0.00007073445,0.00008719492,0.0000841048,0.0002824129],"domain_scores_gemma":[0.9991457,0.0002117339,0.0001971171,0.00005807037,0.000139125,0.000248139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006828816,0.0004443468,0.7541131,0.00008942904,0.00003496559,0.2085639,0.004090676,0.0001268335,0.0108431,0.0006511728,0.006376919,0.01398263],"study_design_scores_gemma":[0.00003606598,0.001040248,0.4469004,0.0002168289,0.00009819321,0.5048292,0.0152003,0.0005152936,0.007746291,0.0007859208,0.02257983,0.00005151248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882052,0.0002871389,0.0003793929,0.0007335855,0.0001764634,0.00003117096,0.0001391501,0.00001404894,0.01003376],"genre_scores_gemma":[0.9964323,0.0001432195,0.0002446591,0.0006570666,0.00008032913,0.000008417982,0.00009651453,0.00001312541,0.002324349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008667058,"threshold_uncertainty_score":0.0289942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473556244529973,"score_gpt":0.2280810924859222,"score_spread":0.2033455300406225,"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."}}