{"id":"W4399990673","doi":"10.4103/ajts.ajts_157_20","title":"Hemovigilance data: An effective approach for evaluating bacterial protection systems for platelet transfusions","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Transfusion Science","topic":"Blood transfusion and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Sepsis; Case fatality rate; Microbiological culture; Septic shock; Platelet transfusion; Blood culture; Bacterial colony; Emergency medicine; Platelet; Internal medicine; Bacteria; Microbiology; Antibiotics; Epidemiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006616078,0.0001901249,0.0004748919,0.0004328739,0.001268975,0.0001027033,0.0007537361,0.00005094955,0.0000358876],"category_scores_gemma":[0.0001777779,0.0001581005,0.0001873316,0.0007616655,0.0001554433,0.0007630772,0.00005876331,0.0003797239,2.787355e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535786,"about_ca_system_score_gemma":0.0004362297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370973,"about_ca_topic_score_gemma":0.000005334941,"domain_scores_codex":[0.996924,0.0001944624,0.0006731699,0.0006169601,0.001201307,0.0003900617],"domain_scores_gemma":[0.9984062,0.00007558792,0.0002779093,0.0005208881,0.000430416,0.0002889683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008849963,0.001667355,0.00007621768,0.0007012326,0.0001512478,0.00002406939,0.004282683,0.003586204,0.6793041,0.0005857721,0.0005654313,0.3002057],"study_design_scores_gemma":[0.09759568,0.08769315,0.01200026,0.001117755,0.003383373,0.009905149,0.04826429,0.5180418,0.07711346,0.0006573404,0.1419867,0.002241037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.316552,0.0001397391,0.6711646,0.001586906,0.002083562,0.007809638,0.0001850799,0.00004252658,0.0004359664],"genre_scores_gemma":[0.9778869,0.00005460308,0.02077129,0.000120686,0.0003773728,0.0006415563,0.00005214089,0.00003194178,0.00006356212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6613349,"threshold_uncertainty_score":0.9760062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090972483515399,"score_gpt":0.3613551243967448,"score_spread":0.2703826408813458,"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."}}