{"id":"W6899155294","doi":"10.58079/o5sa","title":"NHS Blood and Transplant join partnership putting genomics front and centre in blood matching","year":2021,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Join (topology); Matching (statistics); Front (military); Genomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008897896,0.0004978703,0.0005770992,0.0007587886,0.005056327,0.01493885,0.001297085,0.008828132,0.2169934],"category_scores_gemma":[0.01829522,0.0006244533,0.0006124118,0.0007830338,0.002013918,0.006514979,0.00697826,0.01000039,0.109847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855019,"about_ca_system_score_gemma":0.0147213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005782823,"about_ca_topic_score_gemma":0.01643729,"domain_scores_codex":[0.993305,0.00109851,0.0002753198,0.0003913314,0.00298883,0.001940999],"domain_scores_gemma":[0.9734198,0.002725514,0.0008069678,0.001036412,0.003978082,0.01803321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001609008,0.00001538581,0.000138862,0.0000110531,9.417185e-7,0.0000290291,0.00006280644,0.000007342001,0.00004156803,0.001975848,0.9894176,0.008283559],"study_design_scores_gemma":[0.00001401745,0.00002032111,0.0006218541,0.00002632838,0.000001257988,0.00005035795,0.0002486072,0.00001818228,0.00008911697,0.0008397344,0.9980581,0.00001204419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003292075,0.002867943,0.002510579,0.5680661,0.08321986,0.000278925,0.002246002,0.002324496,0.3351941],"genre_scores_gemma":[0.01662549,0.0015728,0.002219099,0.199256,0.01379899,0.0001707016,0.001547739,0.001192885,0.7636163],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2169934,"threshold_uncertainty_score":0.7259152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167657655659289,"score_gpt":0.2187039728664401,"score_spread":0.2019382073005112,"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."}}