{"id":"W4385783333","doi":"10.1038/s41467-023-40646-7","title":"Self-anticoagulant sponge for whole blood auto-transfusion and its mechanism of coagulation factor inactivation","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Sichuan Province; China Scholarship Council; University of British Columbia; West China Hospital, Sichuan University; National Natural Science Foundation of China; Sichuan University; Michael Smith Health Research BC","keywords":"Coagulation; Heparin; Hemostasis; Platelet; Thrombin; Whole blood; Sponge; Anticoagulant; Coagulopathy; Pharmacology; Chemistry; Medicine; Biochemistry; Surgery; Immunology; Biology; 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":[0.000194384,0.0003078161,0.000127757,0.000147995,0.00009551505,0.000171565,0.0002085901,0.0003108757,0.0006338992],"category_scores_gemma":[0.0001963073,0.0001119934,0.000241717,0.00008725303,0.0002048892,0.0002316102,0.0001724043,0.0002874528,0.0001782113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025465,"about_ca_system_score_gemma":0.0001261002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008977354,"about_ca_topic_score_gemma":0.0001062922,"domain_scores_codex":[0.9998617,0.00003023598,0.00001004186,0.00002321935,0.00006038508,0.0000143247],"domain_scores_gemma":[0.9998667,0.00002237306,0.00005871956,0.0000172254,0.00001740324,0.00001752365],"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":[0.00003698649,0.00001710108,0.0001388292,0.00006603283,0.000004288567,0.00009616989,0.0000142623,0.00005310834,0.9966974,0.0001879886,0.00005101887,0.002636822],"study_design_scores_gemma":[0.000007536809,0.0003582394,0.001193451,0.000005089613,0.00001080684,0.0009338324,0.000009338866,0.0007985077,0.9945313,0.00004327908,0.002102802,0.000005743323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605897,0.005314318,0.02942545,0.0002895088,0.0001287952,0.0001119368,0.00009937679,0.0002094326,0.00383139],"genre_scores_gemma":[0.9813431,0.001602112,0.01432143,0.0001235052,0.00002258214,0.00005284167,0.00007421622,0.00002421355,0.002436123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006338992,"threshold_uncertainty_score":0.002120614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417734820779939,"score_gpt":0.3296738948276485,"score_spread":0.2879004127496546,"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."}}