{"id":"W4214490730","doi":"10.1111/trf.16838","title":"Implementation of a blood bank generated tube for second blood group determination: Challenges, yield, and cost","year":2022,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Blood Services","keywords":"ABO blood group system; Blood bank; Medicine; Blood transfusion; Sample (material); Surgery; Blood loss; Yield (engineering); Tube (container); Emergency medicine; Internal medicine; Chromatography; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006245238,0.0002846528,0.0002549789,0.0009224456,0.0004740671,0.002147559,0.0009152989,0.000564406,0.001683802],"category_scores_gemma":[0.01976885,0.0002266929,0.0003699279,0.001397503,0.0005953801,0.0009380276,0.0009371544,0.000773018,0.0002598974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00541277,"about_ca_system_score_gemma":0.005517109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01756231,"about_ca_topic_score_gemma":0.01448716,"domain_scores_codex":[0.9924607,0.002298741,0.0006671639,0.0004304339,0.003526464,0.0006165663],"domain_scores_gemma":[0.9806638,0.00647275,0.008253993,0.0004617932,0.00284132,0.001306297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005965625,0.000295471,0.8583949,0.0006872832,0.0000932689,0.001319825,0.0006404413,0.000798377,0.001127678,0.00133771,0.004358829,0.1303496],"study_design_scores_gemma":[0.00005215797,0.002455121,0.9494666,0.001393612,0.0002078466,0.01035122,0.005082574,0.005546961,0.004459483,0.0008488561,0.02008082,0.00005460986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759663,0.006605421,0.004392032,0.007001577,0.0002169566,0.0003180898,0.0005807013,0.00006399065,0.004854843],"genre_scores_gemma":[0.9919605,0.002435447,0.003598638,0.0008446567,0.0001122728,0.000082158,0.0003860607,0.00001353097,0.0005668129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756231,"threshold_uncertainty_score":0.03927261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198328589392154,"score_gpt":0.2804594146547675,"score_spread":0.2484761287608459,"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."}}