{"id":"W3146635033","doi":"10.1111/vox.13096","title":"Lessons learned in the collection of convalescent plasma during the COVID‐19 pandemic","year":2021,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Canadian Blood Services","funders":"Fogarty International Center","keywords":"Pandemic; Staffing; Preparedness; Medicine; Data collection; Coronavirus disease 2019 (COVID-19); Medical emergency; Nursing; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006676394,0.00008534054,0.0001126889,0.0001114555,0.0002838134,0.0001330717,0.0001867925,0.00004876696,0.0006446795],"category_scores_gemma":[0.0005554163,0.00005543582,0.00006330405,0.0007961048,0.00005520409,0.0002570749,0.00005079454,0.0001873435,0.00004884975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002049651,"about_ca_system_score_gemma":0.00006657342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006004562,"about_ca_topic_score_gemma":0.002747155,"domain_scores_codex":[0.99914,0.00008045156,0.000223831,0.0001712677,0.0002525098,0.0001320021],"domain_scores_gemma":[0.9992629,0.0002733783,0.0001588973,0.0002014423,0.00009493821,0.000008447002],"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":[0.0005890213,0.001330799,0.8355919,0.00100904,0.0002265532,0.0002068324,0.007775898,0.0006989792,0.01540259,0.09827369,0.01695613,0.02193861],"study_design_scores_gemma":[0.003159054,0.00001142835,0.2284275,0.0000462853,0.0001341567,0.00007409955,0.01127059,0.0009088232,0.001163375,0.001831957,0.752736,0.0002367814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384199,0.0002223175,0.00004072483,0.03989546,0.0002730329,0.0002128135,0.00000382045,0.00005277202,0.02087909],"genre_scores_gemma":[0.9951017,0.0001991917,0.00001523637,0.00384013,0.0001548373,0.00002108524,0.000009294485,0.00000897158,0.0006495595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7357798,"threshold_uncertainty_score":0.7058789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08289576132137998,"score_gpt":0.3125074062477539,"score_spread":0.2296116449263739,"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."}}