{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492175,0.0001304565,0.0002187908,0.0001540576,0.00009140273,0.00001133767,0.00004228623,0.0001338789,0.0001147832],"category_scores_gemma":[0.00001791613,0.0000927755,0.00002322989,0.0002300376,0.00003335893,0.0001592542,0.0000166819,0.0001423343,0.000003408658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139242,"about_ca_system_score_gemma":0.0000358627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005446634,"about_ca_topic_score_gemma":0.0001475049,"domain_scores_codex":[0.9990035,0.00004736162,0.0002407178,0.0002951591,0.0001195072,0.0002937797],"domain_scores_gemma":[0.9996623,0.00004036412,0.00002958002,0.0001151639,0.00007002667,0.0000825084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006216353,0.00009156791,0.5631552,0.0001199131,0.00001681131,0.00001417934,0.0003365886,0.000004282167,0.4222175,0.00006882686,0.000002026333,0.01335151],"study_design_scores_gemma":[0.007316659,0.0002694652,0.9639378,0.00137055,0.00008107459,0.00009241273,0.00001311003,0.0014235,0.02504632,0.0001408032,0.0001314892,0.0001768112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993317,0.0001401798,0.005741755,0.0001614382,0.0001119086,0.0003217638,0.000005606058,0.00004892764,0.0001514421],"genre_scores_gemma":[0.9969784,0.0002902928,0.002533848,0.00007576233,0.00005239179,0.000004262335,0.000006766575,0.00002460154,0.00003369485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007826,"threshold_uncertainty_score":0.3783275,"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."}}