{"id":"W4406378262","doi":"10.1111/trf.18124","title":"Freeze‐dried plasma: Hemostasis and biophysical analyses for damage control resuscitation","year":2025,"lang":"en","type":"article","venue":"Transfusion","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; Thrombosis and Atherosclerosis Research Institute; Hamilton Health Sciences; University of Toronto; Defence Research and Development Canada; Canadian Blood Services; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; Defence Research and Development Canada; Hospital for Sick Children; York University; Canadian Blood Services; McMaster University; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada","keywords":"Resuscitation; Hemostasis; Fresh frozen plasma; Whole blood; Coagulation; Chemistry; Medicine; Hemorrhagic shock; Platelet; Anesthesia; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009143968,0.0005543755,0.0002970047,0.0007878555,0.0002541055,0.0004302065,0.0003162029,0.0005953599,0.00106401],"category_scores_gemma":[0.0006488495,0.0001637989,0.0002193069,0.0003657167,0.0004050423,0.0004407449,0.0002726483,0.0006530745,0.0003083205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285041,"about_ca_system_score_gemma":0.0002130354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000448466,"about_ca_topic_score_gemma":0.0004629468,"domain_scores_codex":[0.9996018,0.00007506982,0.00002414539,0.00007881397,0.0001946574,0.00002548547],"domain_scores_gemma":[0.9997055,0.00006168546,0.00009302207,0.00003238512,0.00008418659,0.00002316249],"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":[0.0001036268,0.00003619355,0.001153228,0.0001464685,0.00001718365,0.00008582121,0.00004394113,0.0001632063,0.9810265,0.0002277944,0.000326542,0.01666948],"study_design_scores_gemma":[0.00002438184,0.0005343781,0.02021478,0.00009082828,0.0000769394,0.001539816,0.00009476351,0.004204017,0.9585552,0.0007061848,0.01392434,0.00003450225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319342,0.06550188,0.190729,0.00137299,0.0005295119,0.0005840663,0.002085044,0.0009489595,0.006314304],"genre_scores_gemma":[0.8794314,0.0157308,0.09842943,0.0006205327,0.0002596669,0.0002716986,0.001382563,0.0001049545,0.00376882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106401,"threshold_uncertainty_score":0.004835844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370330555344259,"score_gpt":0.3504130832083238,"score_spread":0.3133800276738978,"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."}}