{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004378,0.000556024,0.0002984728,0.001620759,0.0002875274,0.000979411,0.0005109822,0.000410588,0.003685731],"category_scores_gemma":[0.003901177,0.0002024904,0.0008418602,0.002391965,0.0002077347,0.0007060771,0.001475667,0.000769697,0.0009666272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008252815,"about_ca_system_score_gemma":0.002052246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03426052,"about_ca_topic_score_gemma":0.01889022,"domain_scores_codex":[0.9990993,0.0001455319,0.0001479768,0.00009910404,0.0003358365,0.0001723577],"domain_scores_gemma":[0.996264,0.0004980415,0.001162297,0.0001080531,0.001254035,0.0007134363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003070922,0.00007709815,0.7956525,0.00146106,0.0003938038,0.0003005555,0.0003046745,0.001340367,0.0003657785,0.0008118897,0.1654169,0.03356824],"study_design_scores_gemma":[0.00004986422,0.0001685255,0.9251147,0.001559011,0.0002443191,0.0005643294,0.001598128,0.001326953,0.0008755364,0.0003232162,0.06811299,0.0000624132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3316287,0.01515765,0.001736586,0.008129491,0.001448844,0.000423849,0.6018956,0.0003743698,0.03920498],"genre_scores_gemma":[0.6230823,0.01306747,0.002081554,0.003622759,0.000546683,0.0006072533,0.3517349,0.00009173671,0.005165316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03426052,"threshold_uncertainty_score":0.06812221,"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."}}