{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003112563,0.0002081207,0.0001725972,0.0009130255,0.001048025,0.00163015,0.0006053186,0.0006238418,0.006815028],"category_scores_gemma":[0.006257443,0.0001820983,0.0001645059,0.000823682,0.0005863413,0.0009149362,0.00308473,0.0009441948,0.0004700295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792197,"about_ca_system_score_gemma":0.01174436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04195355,"about_ca_topic_score_gemma":0.04680676,"domain_scores_codex":[0.9984611,0.0005434855,0.00007541912,0.00005652694,0.000126466,0.0007369084],"domain_scores_gemma":[0.9935507,0.0008219368,0.0009897954,0.0001352122,0.000972598,0.003529677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007538346,0.001888177,0.6656735,0.001222486,0.0000870534,0.001776931,0.01096759,0.0005954247,0.003231294,0.01690266,0.07003225,0.2268689],"study_design_scores_gemma":[0.0001528703,0.0006594746,0.8915068,0.001268627,0.00004852884,0.0003227159,0.015752,0.0003714625,0.0008052421,0.001240868,0.08783894,0.00003251523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8917544,0.004137629,0.001120593,0.03864951,0.0003618983,0.0003449153,0.001013901,0.0001056468,0.06251152],"genre_scores_gemma":[0.98228,0.002284554,0.001746107,0.005931506,0.00008935609,0.0002087167,0.0006033742,0.00001102872,0.006845435],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04195355,"threshold_uncertainty_score":0.08341867,"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."}}