Bibliographic record
Abstract
Page numbers in italics refer to fi gures; those in bold to tables or boxes.abacavir 275 abdominal compartment syndrome 409 abdominal pain after bariatric surgery 425, 427 irritable bowel syndrome 355, 357, 370 obesity and 424 absolute risk reduction (ARR) 7, 9-10, 144 absorbents, C. diffi cile-associated disease 341, 342, 344 acarbose hepatic encephalopathy 641, 644-5 induced diarrhea 269 acetaminophen (paracetamol) poisoning 661, 771 liver transplantation 676-8 N-acetylcysteine 673, 674-5 prognostic criteria 676-7 acetic acid injection, hepatocellular carcinoma 654-5 acetorphan 274 acetylcholinesterase inhibitors 272 acetyl-l-carnitine, hepatic encephalopathy 644 acetylsalicylic acid (ASA) see aspirin achalasia 78-87 botulinum toxin injection 79-80, 84, 86 endstage, esophagectomy 85-6 Heller myotomy 82-5, 86 obesity and 423 pharmacologic treatment 78-9, 86 pneumatic dilatation 80-2, 84-5, 86 treatment 78-87 treatments compared 84-5 acid perfusion test see Bernstein test acid regurgitation functional dyspepsia with 190 GERD 19, 20 diagnostic value 28, 29 empirical therapy of uninvestigated 42-3 acid suppressive therapy acute non-variceal gastrointestinal bleeding 167-9 adverse effects of long-term 42 Barrett's esophagus 66-7 diarrhea risk 272 duodenal ulcers 106-7 fulminant hepatic failure 666-7 functional dyspepsia 194-5 gastric ulcers 109 GERD diagnosis 29-30 GERD therapy 19, 30-45 NSAID-induced ulcers 144-9 withdrawal before endoscopy 191 see also H 2 -receptor antagonists; proton pump inhibitors Acinetobacter baumanii 727 actuarial risk 7 acute colonic pseudo-obstruction (ACPO) 377-83 clinical features 377-8 clinical guidelines 382 endoscopic decompression 381-2 management 378-9, 383 medical therapy 379-81 pathogenesis 377, 378 surgery 382 acute liver failure (ALF) see fulminant hepatic failure acute non-variceal gastrointestinal hemorrhage 165-84 animal model 170 drug therapy 167-70 endoscopic therapy 170-84 combination methods 180-1 elective repeat therapy 182-3 failure 183-4 injection methods 170, 172-7 injection vs thermal methods 177, 178 mechanical methods 170-1, 177-80 thermal methods 170, 171-2 ulcers with adherent blood clot 182 general management 166-7 NSAID-associated 140 risk assessment 165-6 Rockall scoring system 165-6 specifi c therapy 167-84 Acute Physiology and Chronic Health Evaluation score see APACHE score adalimumab, Crohn's disease 217, 224 adefovir dipivoxyl (ADV) hepatitis B 448, 453, 454-5 lamivudine resistance 750 long-term outcome 457 post-transplant prophylaxis 751, 753, 754 pre-transplant 749 resistance 459, 459, 460, 749 S-adenosyl methionine, alcoholic liver disease 467 adherence see compliance adolescents, celiac disease management 207 adrenaline (epinephrine) acute non-variceal gastrointestinal bleeding 172-3, 174, 175-7 combination treatments 180-1 vs thermal treatment 177, 178 fulminant hepatic failure 664 adverse drug reactions type A 771 type B 771-2 see also drug-induced diarrhea; druginduced liver disease afl atoxin 651 agouti-related protein (AgRP) 419 alanine aminotransferase (ALT), serum hepatitis B 448, 451, 452-5 hepatitis C 438, 443 albumin infusion ascites 621-2, 623 dilutional hyponatremia 628 fulminant hepatic failure 663 hepatorenal syndrome 626-7 spontaneous bacterial peritonitis 629-30 alcohol abuse, liver transplant recipients 470
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.922 | 0.907 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".