{"id":"W4304820662","doi":"10.1016/j.ebiom.2022.104305","title":"Thrombopoietin participates in platelet activation in COVID-19 patients","year":2022,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Università degli Studi di Torino; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Thrombopoietin; Platelet activation; Medicine; Platelet; Immunology; Biomarker; Sepsis; Whole blood; Internal medicine; Haematopoiesis; Biology; Stem cell","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002760023,0.0003237697,0.000376982,0.0004029066,0.0003403997,0.0005630653,0.0002022434,0.000399755,0.001797297],"category_scores_gemma":[0.0009934746,0.0001730555,0.0002178419,0.0004145885,0.0002008092,0.0002221326,0.000319396,0.0005158942,0.0002379627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900073,"about_ca_system_score_gemma":0.0001573737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003975258,"about_ca_topic_score_gemma":0.0003387244,"domain_scores_codex":[0.9997553,0.00005450617,0.00003363329,0.00005750832,0.00004384216,0.00005515694],"domain_scores_gemma":[0.9995246,0.0001075912,0.0001971574,0.00002784939,0.00004322205,0.00009951501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001295131,0.0001243534,0.9887844,0.00004425099,0.00003078896,0.001680774,0.000138559,0.00004305178,0.004907376,0.00005861666,0.0001436701,0.002748875],"study_design_scores_gemma":[0.00005395431,0.0006898213,0.9912378,0.00002273242,0.00005466679,0.00526006,0.0002580109,0.0003023391,0.00127202,0.00007553801,0.0007669958,0.000006043988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988506,0.0005255108,0.0000885053,0.00002400137,0.000007125066,0.00001395431,0.0001281511,0.000001842332,0.000360228],"genre_scores_gemma":[0.9993976,0.0001512634,0.00008851283,0.00002903789,0.00002150938,0.00001253048,0.000214106,0.000001055762,0.00008433478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797297,"threshold_uncertainty_score":0.006012559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810555641105775,"score_gpt":0.3180146809934871,"score_spread":0.2899091245824293,"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."}}