{"id":"W3087661988","doi":"10.1016/j.transci.2020.102957","title":"Promoting access to COVID-19 convalescent plasma in low- and middle-income countries","year":2020,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Blood Services","funders":"National Heart, Lung, and Blood Institute","keywords":"Coronavirus disease 2019 (COVID-19); Outreach; Pandemic; Business; Procurement; Government (linguistics); Donation; Blood transfusion; Blood collection; Medicine; Economic growth; Medical emergency; Immunology; Marketing; Economics; Disease","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007259031,0.0001692398,0.000196912,0.0002759921,0.0005359972,0.001093069,0.0003676237,0.00004631549,0.0004786078],"category_scores_gemma":[0.0003797199,0.000148458,0.00002397194,0.001441516,0.0002858435,0.002471578,0.0001709758,0.0001395954,0.00004163527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001812732,"about_ca_system_score_gemma":0.00009820093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005130367,"about_ca_topic_score_gemma":0.001119724,"domain_scores_codex":[0.9983228,0.00001869689,0.0002984091,0.0005798069,0.0004753759,0.000304938],"domain_scores_gemma":[0.9994318,0.0001054695,0.0000857908,0.0001047376,0.00009302311,0.0001791056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0019826,0.0006436679,0.851804,0.01239156,0.00003656077,0.0002225269,0.02297799,0.0003869548,0.0234767,0.05159,0.000547301,0.03394013],"study_design_scores_gemma":[0.01753216,0.000288666,0.6633267,0.003520804,0.0002304944,0.00005247204,0.01008411,0.09579273,0.01487316,0.00234427,0.188766,0.003188429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403172,0.00006866604,0.0002508085,0.05669223,0.00009899322,0.000501238,0.000003643801,0.00009857969,0.001968707],"genre_scores_gemma":[0.9759398,0.0002389817,0.0001295774,0.02357409,0.00007216216,0.00001558021,0.00000100894,0.00001063498,0.00001819602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884773,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463600601310429,"score_gpt":0.2886228313421663,"score_spread":0.2422627712111234,"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."}}