{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000364637,0.0002071409,0.0003760438,0.0001323644,0.000159999,0.00004068259,0.00004443829,0.0001680887,0.00002400737],"category_scores_gemma":[0.0001742828,0.000214934,0.00007814065,0.0003612738,0.00008648743,0.000344656,0.0000142473,0.0001774801,0.000003102856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009974205,"about_ca_system_score_gemma":0.00009934197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001894809,"about_ca_topic_score_gemma":0.0002496741,"domain_scores_codex":[0.9981734,0.0001141497,0.0006001478,0.000481341,0.0003890483,0.0002419598],"domain_scores_gemma":[0.9989662,0.00007727927,0.0002071,0.0002596154,0.0003742562,0.0001156077],"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":[0.0003692208,0.0002484988,0.0008297744,0.0002161851,0.0000421533,0.00001256917,0.002652789,0.0000446517,0.9610115,0.0002624335,0.00000485256,0.03430534],"study_design_scores_gemma":[0.004729862,0.0002218894,0.06729636,0.0002348482,0.0001068464,0.00004812385,0.0004123133,0.01990489,0.906816,0.00001860708,0.00003226728,0.0001779631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412625,0.0001578961,0.05692187,0.0004549688,0.0002975221,0.0007028928,0.00006857072,0.00006814885,0.00006557863],"genre_scores_gemma":[0.9903786,0.0007210728,0.007807182,0.00008217931,0.0000738489,0.00002757649,0.0008119454,0.00003503275,0.00006253031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06646658,"threshold_uncertainty_score":0.8764754,"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."}}