{"id":"W2518666618","doi":"10.1111/trf.13798","title":"Resolving variable maternal D typing using serology and genotyping in selected prenatal patients","year":2016,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood groups and transfusion","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Genotyping; Serology; Typing; Medicine; Genotype; Immunology; Antibody; Genetics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009205972,0.0002742478,0.0002310956,0.0007768314,0.0003796941,0.0004192491,0.0002553816,0.0003880374,0.0005563317],"category_scores_gemma":[0.006050343,0.0001647481,0.0001067105,0.0004374395,0.0003316126,0.0002652189,0.0004000556,0.0003791248,0.00009174045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226961,"about_ca_system_score_gemma":0.0004258412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051952,"about_ca_topic_score_gemma":0.002193023,"domain_scores_codex":[0.9992481,0.0002932201,0.00007506838,0.0001023946,0.0001481309,0.0001330571],"domain_scores_gemma":[0.998894,0.0005353936,0.0002626575,0.00005369392,0.00007267544,0.0001815723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342101,0.00003207832,0.9894636,0.000009152895,0.000004431182,0.001615807,0.0001446699,0.00007498558,0.0004559556,0.0000547997,0.0002160344,0.007794138],"study_design_scores_gemma":[0.00005827656,0.0008879481,0.9545637,0.0001272222,0.00006545315,0.03346721,0.001244826,0.00447409,0.003270056,0.0005381152,0.001283152,0.00001997073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986978,0.0002100552,0.0003603496,0.0001233349,0.000008376909,0.00001724814,0.0000352783,0.000005003293,0.0005426191],"genre_scores_gemma":[0.9990585,0.0001652397,0.000628462,0.00005689684,0.00001097857,0.000007684583,0.00003869585,0.000001521362,0.00003207022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002051952,"threshold_uncertainty_score":0.004868627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004975146311252,"score_gpt":0.2247594743523366,"score_spread":0.214709722889224,"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."}}