Bibliographic record
Abstract
Note: page numbers in italics refer to figures; those in bold to tables or boxes. AABB (formerlyAmerican Association of Blood Banks) 220, 221, 329 Biovigilance Inter-organizational Task Force 221, 222, 223-4 cell and tissue vigilance 333, 336-7 Tissue Task Force 336 ABO blood grouping 118-19 errors 119-20 ABO-incompatible transfusions 9, 347 achievements of hemovigilance 298 Australia 212, 213 blood administration errors 70 errors in collection of blood component 69 France 152-4, 155, 156 laboratory errors 120 sample collection errors 132, 133 UK 127, 128, 141 achievements through hemovigilance 10, 281-301 actions and measures triggered 292-6 methods of data collection 283-4 outcomes and achievements 296-9 problems and risks identified 288-92 results of data analysis 288-99 UK SHOT data 284-8, 289 active hemovigilance 15 active surveillance 150, 326 acute hemolytic transfusion reactions (AHTRs) 298, 354 see also ABO-incompatible transfusions acute hypervolemic hemodilution (AHH) 307 acute normovolemic hemodilution (ANH) 307-8, 309, 310 acute transfusion reactions (ATR) 291 achievements of hemovigilance 287-8, 298 monitoring errors 136 UK SHOT 169, 172, 284, 287-8 administration, blood 69-71, 134-6 case studies 135-6 checks before 129, 134-6, 139 documentation 69 errors 135, 135-6 monitoring 69-71, 71, 129, 136-7 staff training 69-70, 137-8 administration of wrong blood 171 adverse events (AE) 9 Arab Hemovigilance Network 227, 229 Australian system 214 autologous transfusion 309 definitions 6-7, 7, 345, 353 in donors 347-50 human cell, tissue, and product (HCT/P)-related 331-3, 335-6 in recipients developing countries 265-7, 266 glossary of terms 346-7 Japanese system 161-2 rates 127, 127-8, 141 reporting of error-based 127-8 UK SHOT scheme 169-72 under-reporting 137 US surveillance 221-3, 329-30 see also transfusion reactions reportable 13, 13 Europe 238, 240, 254-5 reporting see reporting of events serious see serious adverse events solid organ transplant-related 331, 333-4 adverse reactions (AR) definition 7, 7, 345, 353 in donors see donor adverse reactions in recipients see transfusion reactions reportable 13, 13 European Union 238, 240 reporting see reporting of events serious see serious adverse reactions adverse transfusion events (ATEs) Canada 195-6, 196, 197 defined 191 see also adverse events Advisory Committee on Blood Safety and Availability (ACBSA), US 328 Index appropriate transfusion (Continued ) jobs and responsibilities 64-5 monitoring and assessment 65 see also inappropriate and unnecessary transfusion aprotinin 313 Arab Hemovigilance Network (AHN) 226-32, 232 basic guidelines and requirements 228 establishing 228-32 policies 227 website 229, 229, 230, 231 arm anatomy, analysis 92, 93 painful 348, 349, 364, 366 arterial puncture 348, 349, 363 grading of severity 366 Assistant Secretary of Health (ASH), US 328 Association of Anesthetists of Great Britain 62 audits appropriate blood use 65 blood component preparation 48-9, 108-9 clinical transfusion practice 136-7 returned blood components 68, 68 Australia 209-19 blood sector 209-11 hemovigilance system 209-19 communication/reporting 215 context 209-11 lessons learned 215, 216-17 major regional programs 211-13 national arrangements 213-15 research opportunities 215-17 Australian and New Zealand Society of Blood Transfusion (ANZSBT) 62, 210, 218 Australian Commission for Safety and Quality in Health Care (ASCHQC) 211 Australian Institute of Health and Welfare (AIHW) 214, 215 Australian Red Cross Blood Service 210, 214-15 autologous transfusion 306-10, 344 possible problems 309-10 techniques 306-9 UK SHOT scheme 171, 309
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.083 | 0.040 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".