{"id":"W3211702719","doi":"10.1182/blood-2021-150013","title":"Impact of COVID-19 Pandemic on Global Unrelated Stem Cell Donations in 2020 - Report from World Marrow Donor Association","year":2021,"lang":"en","type":"article","venue":"Blood","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Stem cell; Pandemic; Medicine; Population; Coronavirus disease 2019 (COVID-19); Cord blood; Haematopoiesis; Hematopoietic stem cell transplantation; Bone marrow; Transplantation; Immunology; Internal medicine; Demography; Biology; Environmental health; Disease; Infectious disease (medical specialty); Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000424457,0.00008951518,0.0002387447,0.00006706369,0.00002990779,0.000009020091,0.00003810704,0.0002850813,0.000259713],"category_scores_gemma":[0.0003153544,0.00007359317,0.0001196683,0.0007226082,0.0000429082,0.00002745876,0.0000214674,0.0002849236,0.000008812755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226317,"about_ca_system_score_gemma":0.0009842755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008616595,"about_ca_topic_score_gemma":0.001249653,"domain_scores_codex":[0.9987086,0.00009982531,0.0004092874,0.0002241255,0.0004228511,0.0001353087],"domain_scores_gemma":[0.9989995,0.0002324661,0.0002590958,0.0001925455,0.0001418858,0.0001745036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006491227,0.0009048541,0.9869456,0.00004224891,0.000186611,0.000324362,0.0001457846,0.00006365479,0.0090719,0.0001084909,0.001500574,0.0006409686],"study_design_scores_gemma":[0.004836904,0.000107871,0.9903905,0.0001099777,0.0002239933,0.00005106648,0.00004816482,0.0002361412,0.001028905,0.001650856,0.001220947,0.00009462834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899044,0.0004027665,0.00008320705,0.00676081,0.0001429098,0.0001689061,0.0001302593,0.0000350564,0.002371706],"genre_scores_gemma":[0.9972125,0.00008899481,0.0001264678,0.0002889261,0.00008973508,0.000004628465,0.0006017059,0.000007328481,0.001579749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008042995,"threshold_uncertainty_score":0.3001042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858895723609532,"score_gpt":0.3292038226987494,"score_spread":0.3006148654626541,"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."}}