{"id":"W4391213043","doi":"10.1111/bjh.19298","title":"Past meets present: Reviving 80‐year‐old Canadian dried serum from World War <scp>II</scp> and its significance in advancing modern freeze‐dried plasma for prehospital management of haemorrhage","year":2024,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute; Defence Research and Development Canada; University of Toronto; Canadian Armed Forces; St. Michael's Hospital","funders":"University of Toronto; Canadian Blood Services; Defence Research and Development Canada","keywords":"Resuscitation; Fresh frozen plasma; Medicine; Albumin; Saline; Blood clotting; Intensive care medicine; Surgery; Internal medicine; Platelet","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":[0.00288475,0.0003242516,0.0002106988,0.0008066077,0.002802342,0.002697564,0.001053782,0.0007650331,0.002865324],"category_scores_gemma":[0.003198317,0.0001038049,0.0002775482,0.0008517234,0.001728198,0.001021125,0.0008116644,0.000798846,0.0005969452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01187016,"about_ca_system_score_gemma":0.01426827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6128558,"about_ca_topic_score_gemma":0.6922498,"domain_scores_codex":[0.9990743,0.00009100127,0.00003278574,0.00008785156,0.0005614979,0.0001524656],"domain_scores_gemma":[0.9982886,0.00009361547,0.0001104478,0.00007771016,0.001097718,0.0003319862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00241427,0.0003169691,0.04306172,0.001459515,0.0001336687,0.002943462,0.009313502,0.001108942,0.1970984,0.01664764,0.1256968,0.5998052],"study_design_scores_gemma":[0.00004743847,0.0004556719,0.05078964,0.0005091266,0.0001176696,0.002805521,0.003506624,0.0007218391,0.07794803,0.001747011,0.8612294,0.0001221663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6521888,0.1646775,0.01134918,0.08555847,0.009186219,0.0002938879,0.002292598,0.0006146189,0.07383868],"genre_scores_gemma":[0.8850555,0.03958154,0.02299303,0.01369307,0.0008470431,0.0000445131,0.001782454,0.0002985706,0.03570427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871442,"threshold_uncertainty_score":0.7788484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364738319389686,"score_gpt":0.2558194531407312,"score_spread":0.2421720699468343,"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."}}