{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002642133,0.0002116418,0.0005563151,0.0001171083,0.00007177857,0.00001473612,0.00005906163,0.0001351605,0.00001933161],"category_scores_gemma":[0.0006597346,0.0001821666,0.00003843267,0.0002721027,0.0002064022,0.000101655,0.00004623313,0.0002194112,3.53012e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537746,"about_ca_system_score_gemma":0.0006587385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1041246,"about_ca_topic_score_gemma":0.3438466,"domain_scores_codex":[0.9981026,0.0001896225,0.0005769309,0.0004817429,0.000398162,0.0002509107],"domain_scores_gemma":[0.9990678,0.0002213416,0.000139439,0.0002440708,0.0001775101,0.0001497713],"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":[0.000669861,0.0001546577,0.1886242,0.001723205,0.00006096609,0.000069589,0.00360077,0.000010484,0.7903041,0.00002598162,0.00007358247,0.01468261],"study_design_scores_gemma":[0.005119056,0.0003662846,0.4874928,0.0008338875,0.000138438,0.00008030981,0.00754358,0.0007904631,0.4973707,0.00006461749,0.00009453253,0.00010529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995488,0.002713909,0.00003457441,0.0006132729,0.00009181647,0.0008926261,0.00005427394,0.00002381246,0.00008764707],"genre_scores_gemma":[0.9968814,0.002150168,0.0007500493,0.00006085787,0.00001090308,0.00002271987,0.00004556729,0.00002220242,0.00005619188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2988686,"threshold_uncertainty_score":0.9018412,"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."}}