{"id":"W4390142010","doi":"10.1111/vox.13575","title":"The selection and preparation of red cell components for intrauterine transfusion: A national survey","year":2023,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood transfusion and management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Sinai Health System; Mount Sinai Hospital; Héma-Québec; Foothills Medical Centre; Centre hospitalier universitaire de Québec; Izaak Walton Killam Health Centre; Health Sciences Centre; University Health Network; Ottawa Hospital; Centre Hospitalier Universitaire Sainte-Justine; University of Toronto; Canadian Blood Services; Université Laval; University of Alberta","funders":"","keywords":"Medicine; Interquartile range; Red blood cell; Blood transfusion; Red Cell; Obstetrics; Surgery; Immunology; Internal medicine","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":[0.0004985074,0.00005775045,0.0001016666,0.00007052638,0.0001053031,0.000009507157,0.00003010629,0.00003265342,0.00002325523],"category_scores_gemma":[0.00004701578,0.00004275119,0.00003567585,0.0002305642,0.00002236114,0.00002273959,0.00001023101,0.00003651808,0.000003484075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000105397,"about_ca_system_score_gemma":0.00002314183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008564568,"about_ca_topic_score_gemma":0.0003166975,"domain_scores_codex":[0.9993874,0.00003737111,0.000172611,0.0001246889,0.0001874071,0.00009047019],"domain_scores_gemma":[0.9996001,0.0001255386,0.00003603656,0.00006747709,0.0001381208,0.00003279613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01179653,0.001642918,0.03430838,0.002003931,0.0007843119,0.000009701016,0.004658046,0.0001794221,0.5995786,0.007875858,0.2403945,0.09676786],"study_design_scores_gemma":[0.005242089,0.0009460814,0.8188247,0.00005013098,0.000106188,0.000008754668,0.0001418116,0.01203915,0.02639668,0.0005338747,0.1355779,0.0001326483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928628,0.00005757971,0.001159276,0.002529554,0.0002041272,0.0009919984,0.00003938616,0.00007192027,0.002083332],"genre_scores_gemma":[0.9979231,0.0006157689,0.0002663308,0.00009622829,0.00004966203,0.00006603295,0.0001471975,0.000008750071,0.0008269447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845163,"threshold_uncertainty_score":0.1743343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680688498246056,"score_gpt":0.3255438844323222,"score_spread":0.2787369994498617,"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."}}