{"id":"W3210213754","doi":"10.1111/tme.12828","title":"Effect of the first year of <scp>COVID</scp>‐19 pandemic on the collection and use of blood components in Colombia monitored through the national haemovigilance system","year":2021,"lang":"en","type":"article","venue":"Transfusion Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Blood Services","keywords":"Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Environmental health; Internal medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166082,0.0001238416,0.0002887888,0.00008832952,0.0002100056,0.00001970212,0.0001700763,0.00006896149,0.00003440072],"category_scores_gemma":[0.001009375,0.0000617965,0.00006032991,0.0008585431,0.0002126358,0.0002540559,0.00003365472,0.0001991335,0.000001378918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001687508,"about_ca_system_score_gemma":0.00003397804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729228,"about_ca_topic_score_gemma":0.0006918738,"domain_scores_codex":[0.9984483,0.0001894917,0.0004297912,0.0001801535,0.0006535224,0.00009879282],"domain_scores_gemma":[0.9966744,0.002602531,0.0003209034,0.0001714688,0.000221749,0.000008955866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006376873,0.0005287422,0.932226,0.002547623,0.0002352594,0.000008113295,0.00287251,0.0005477475,0.04140157,0.01339243,0.00512791,0.0004744326],"study_design_scores_gemma":[0.02141853,0.0005331997,0.8883999,0.00406578,0.001499321,0.00006692397,0.006027778,0.005156362,0.02146981,0.0006636168,0.05047333,0.0002254178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993973,0.0001675477,0.0000407485,0.003164339,0.0002689336,0.0005872906,0.00000832469,0.00001852944,0.001771267],"genre_scores_gemma":[0.9985682,0.0003754716,0.00001020929,0.000828547,0.00008774315,0.00002185932,0.000007311053,0.000009892869,0.00009081617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04534542,"threshold_uncertainty_score":0.2614087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745767082774087,"score_gpt":0.2696683677403595,"score_spread":0.2222106969126186,"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."}}