{"id":"W4200482992","doi":"10.1111/trf.16772","title":"Retention of hemostatic and immunological properties of frozen plasma and <scp>COVID</scp>‐19 convalescent apheresis fresh‐frozen plasma produced and freeze‐dried in Canada","year":2021,"lang":"en","type":"article","venue":"Transfusion","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto; Alberta Medical Association; University of British Columbia; McMaster University; Canadian Armed Forces; Lunenfeld-Tanenbaum Research Institute; Canadian Blood Services","funders":"Health Canada; Defence Research and Development Canada","keywords":"Antithrombin; Chemistry; Fibrinogen; Partial thromboplastin time; Fresh frozen plasma; Von Willebrand factor; Apheresis; Prothrombin time; Titer; Antibody; Coagulation; Blood proteins; Thromboelastometry; Clotting factor; Thromboplastin; Immunology; Medicine; Platelet; Internal medicine; Biochemistry; Heparin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000312792,0.0001792866,0.000183786,0.0001654742,0.0001710322,0.0003779642,0.0002402392,0.000108848,0.001641037],"category_scores_gemma":[0.0005345466,0.00005253216,0.0001695268,0.0001841445,0.0002101356,0.0001220594,0.0001098894,0.0002164206,0.000143442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134675,"about_ca_system_score_gemma":0.001173799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05426339,"about_ca_topic_score_gemma":0.03187824,"domain_scores_codex":[0.999787,0.00002735711,0.000009776625,0.00004394116,0.0000850682,0.00004675372],"domain_scores_gemma":[0.9997739,0.00002813523,0.0000498662,0.00001819036,0.00008053366,0.00004938668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02543854,0.001283233,0.05469375,0.0003152366,0.0004412911,0.0002965334,0.0002953445,0.001775025,0.8329144,0.0005198657,0.00117692,0.08084992],"study_design_scores_gemma":[0.001073187,0.03343467,0.2801264,0.00005866481,0.0005988989,0.001335758,0.0003796761,0.003971896,0.671401,0.0001813543,0.007403269,0.00003509563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982005,0.0006464928,0.0003393575,0.000017104,0.000004357079,0.00002642315,0.0001682073,0.000008929444,0.0005885966],"genre_scores_gemma":[0.9985713,0.0001696181,0.0003821312,0.00001687063,0.000002742669,0.00001018419,0.0002486675,0.000003650789,0.000594813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9457366,"threshold_uncertainty_score":0.1078951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998968168359512,"score_gpt":0.228152516337966,"score_spread":0.1981628346543709,"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."}}