{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000458418,0.000322649,0.0002197046,0.0005186178,0.0003114823,0.001015461,0.0003174592,0.0003582452,0.002251265],"category_scores_gemma":[0.002561397,0.0001328128,0.000390827,0.0003902317,0.0002240072,0.0003559878,0.0005251114,0.0005644783,0.0001786513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358099,"about_ca_system_score_gemma":0.001294586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1822329,"about_ca_topic_score_gemma":0.196596,"domain_scores_codex":[0.9994031,0.0001446557,0.0000369022,0.0001206444,0.00009270005,0.0002019859],"domain_scores_gemma":[0.9981666,0.0002430334,0.0008603411,0.00007786697,0.0002743768,0.0003777837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004316809,0.00007734389,0.9925558,0.00005802272,0.0000743811,0.0001781394,0.0002015235,0.0002463496,0.0003731673,0.00004523263,0.001021938,0.004736435],"study_design_scores_gemma":[0.000003241908,0.0000636938,0.9990386,0.00001378258,0.00001335711,0.00004055839,0.0002708168,0.0001288319,0.00006879517,0.000004452575,0.0003503162,0.000003700775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941093,0.0007409326,0.00007146171,0.0003773736,0.00002760499,0.00002139546,0.002411422,0.00001709286,0.002223567],"genre_scores_gemma":[0.9981995,0.0002415584,0.00004919078,0.00006844172,0.00001086864,0.000007045652,0.00104276,0.000002935077,0.0003778333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822329,"threshold_uncertainty_score":0.3623444,"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."}}