{"id":"W4323812250","doi":"10.1111/vox.13419","title":"Use of selective phenotyping and genotyping to identify rare blood donors in Canada","year":2023,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood groups and transfusion","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta; McMaster University; Canadian Blood Services; University of Toronto","funders":"","keywords":"Genotyping; Medicine; Genotype; Biology; Genetics; 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":[0.002248789,0.0002398702,0.0002111476,0.001942717,0.001548504,0.0006483553,0.0008360676,0.0002542034,0.001245194],"category_scores_gemma":[0.005108599,0.0001770535,0.0001934711,0.002220999,0.0004439453,0.0001551805,0.0007698393,0.0003129781,0.0001474451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158918,"about_ca_system_score_gemma":0.02919253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745587,"about_ca_topic_score_gemma":0.9818777,"domain_scores_codex":[0.9979043,0.000315295,0.0001692245,0.0003381921,0.0008934706,0.0003794405],"domain_scores_gemma":[0.996085,0.0005152102,0.0005601789,0.0001577931,0.002144061,0.0005377312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461488,0.00004299822,0.9361184,0.00009225521,0.00004082451,0.0004380378,0.001789611,0.0005508451,0.00172765,0.0006053243,0.003418128,0.05502965],"study_design_scores_gemma":[0.00001995337,0.0000788986,0.9821115,0.0001304566,0.0000555887,0.0008287967,0.00206915,0.002933696,0.002049659,0.0001961382,0.009496517,0.000029636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833381,0.001459235,0.002692799,0.001071949,0.00003733202,0.0002429684,0.002893765,0.00006846961,0.00819537],"genre_scores_gemma":[0.9936394,0.0007555781,0.003376373,0.0002612872,0.000006837925,0.0000388832,0.0007088333,0.000009991215,0.001202716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02544135,"threshold_uncertainty_score":0.08408582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834435075028797,"score_gpt":0.271609201834371,"score_spread":0.2432648510840831,"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."}}