{"id":"W3122589503","doi":"10.1111/trf.16285","title":"Adapting to supply‐and‐demand emerging trends for antigen‐negative red blood cell units","year":2021,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood groups and transfusion","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Genotyping; Antigen; Red blood cell; Immunology; Medicine; Blood collection; Biology; Emergency medicine; Genetics; Genotype; 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":[0.001192562,0.0001562444,0.0001502977,0.0007281517,0.0005753551,0.001200697,0.0006019357,0.000308679,0.003975106],"category_scores_gemma":[0.003782348,0.00008233981,0.0001638998,0.001487221,0.0003541358,0.0004914164,0.0003897703,0.0003917026,0.000362714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008983819,"about_ca_system_score_gemma":0.007911504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6227541,"about_ca_topic_score_gemma":0.7538659,"domain_scores_codex":[0.9990656,0.0002067659,0.00006327709,0.0001454727,0.0002904102,0.0002286347],"domain_scores_gemma":[0.9962524,0.0005210166,0.001004681,0.0001626446,0.001590006,0.0004692292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007048878,0.000043137,0.9664097,0.00007489715,0.00002889008,0.0001442398,0.0006374174,0.0008051435,0.001231791,0.0005099541,0.004088462,0.02595587],"study_design_scores_gemma":[0.000003320591,0.00006852407,0.9868673,0.00004942415,0.00001430342,0.0001532995,0.001600087,0.002012877,0.0004750298,0.0001034973,0.008642109,0.00001016362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784243,0.0005663502,0.001794092,0.004318777,0.00003286337,0.00005426304,0.004255663,0.00005045452,0.01050317],"genre_scores_gemma":[0.9949068,0.0004488998,0.0009898749,0.0007089865,0.00002285267,0.00002162176,0.001212053,0.00001498785,0.001673801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6227541,"threshold_uncertainty_score":0.7589352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989909489014504,"score_gpt":0.2604817131587218,"score_spread":0.2405826182685767,"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."}}