{"id":"W2912678387","doi":"10.1016/j.mehy.2019.02.004","title":"Computer simulation of transfusion with different blood product ratios in modern massive transfusion protocols","year":2019,"lang":"en","type":"article","venue":"Medical Hypotheses","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hematocrit; Platelet; Resuscitation; Medicine; Packed red blood cells; Blood product; Anesthesia; Blood volume; Shock (circulatory); Platelet transfusion; Blood transfusion; Whole blood; Fibrinogen; Cardiology; Internal medicine; Surgery","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":[0.0003055169,0.0002308422,0.0005456463,0.0002017966,0.00003178037,0.00001228773,0.0001210372,0.0001530047,0.000291109],"category_scores_gemma":[0.0001991081,0.0001546623,0.00008114152,0.0002738796,0.0001058263,0.0001292886,0.00001748893,0.0003079933,0.000007631765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006014868,"about_ca_system_score_gemma":0.0001770825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000396204,"about_ca_topic_score_gemma":0.0001884613,"domain_scores_codex":[0.9973375,0.0001547035,0.0005465348,0.0004615496,0.001238301,0.000261458],"domain_scores_gemma":[0.9988648,0.0003504125,0.0001194874,0.000345234,0.0001541985,0.0001658631],"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":[0.00542129,0.004340448,0.3345444,0.002570254,0.0001402918,0.0001379533,0.007104874,0.01168962,0.07123225,0.00008470396,0.00001597883,0.5627179],"study_design_scores_gemma":[0.023332,0.005697938,0.6311803,0.006580438,0.000235924,0.00005807862,0.0003890139,0.2153208,0.1159881,0.0004054694,0.0002265031,0.0005854165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640201,0.00004718244,0.0195776,0.000934009,0.00006927578,0.01509337,0.000006914566,0.00006075172,0.0001907415],"genre_scores_gemma":[0.997613,0.00003411212,0.0009441248,0.0001299833,0.0001231881,0.001030841,0.00002643684,0.00003812483,0.00006019618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5621325,"threshold_uncertainty_score":0.6306947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677225916256029,"score_gpt":0.2898691071553717,"score_spread":0.2630968479928114,"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."}}