{"id":"W3158349200","doi":"10.1111/trf.16423","title":"Platelet‐enhanced plasma: Characterization of a novel candidate resuscitation fluid's extracellular vesicle content, clotting parameters, and thrombin generation capacity","year":2021,"lang":"en","type":"article","venue":"Transfusion","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence and Security Accelerator; Engineering and Physical Sciences Research Council; Defence Science and Technology Laboratory; Medical Research Council Canada; British Heart Foundation","keywords":"Platelet; Chemistry; Thromboelastometry; Platelet activation; Thrombin; Phosphatidylserine; Clotting factor; Activated clotting time; Tissue factor; Immunology; Biochemistry; Internal medicine; Medicine; Heparin; Coagulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319881,0.0002149484,0.0001279607,0.0002040467,0.00008234594,0.0002729768,0.0001366849,0.0002185638,0.000602043],"category_scores_gemma":[0.0003460543,0.00004727394,0.0001334014,0.0001603515,0.0001150607,0.0001855216,0.0001358003,0.0002032176,0.0001724622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142008,"about_ca_system_score_gemma":0.00009872383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753445,"about_ca_topic_score_gemma":0.0001080262,"domain_scores_codex":[0.9998933,0.00001986874,0.00001009185,0.00002153448,0.00004134945,0.0000137507],"domain_scores_gemma":[0.9999151,0.00002697458,0.0000199803,0.000005152688,0.0000232753,0.000009424328],"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":[0.0001364404,0.00002430981,0.0005594962,0.00003513956,0.000007240684,0.00005422601,0.00002242012,0.0001403204,0.9963214,0.00005638671,0.00004062626,0.002601826],"study_design_scores_gemma":[0.00001727255,0.000471869,0.008692202,0.000009817286,0.0000294341,0.0005739172,0.00003691581,0.002444397,0.9861885,0.00006612323,0.001461726,0.000007912053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904235,0.001449579,0.006843655,0.00005468051,0.00001026694,0.00005995522,0.0003967902,0.00003592313,0.0007254953],"genre_scores_gemma":[0.9932741,0.0004688989,0.004771657,0.00004371516,0.000007641861,0.00005310136,0.0007952461,0.00001186444,0.0005736829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000602043,"threshold_uncertainty_score":0.002014041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06625325696275387,"score_gpt":0.2630734999624164,"score_spread":0.1968202429996626,"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."}}