Bibliographic record
Abstract
Blood coagulation in the extracorporeal hemodialysis circuit is one of the manifestations of bio-incompatibility that is related to the activation of monocytes, platelets, and the coagulation cascades. Compared to adults, in pediatric patients, the surface area of the extracorporeal circuit is increased relative to blood volume. This is due to the patient's smaller blood volume and the combination of the higher relative surface area of the dialyzer, smaller lumen lines, and small-bore vascular catheters, potentially increasing contact activation of coagulation proteins, platelets, and inflammatory cells. Although unfractionated heparin remains the most commonly used anticoagulant, low molecular weight heparin offers the advantages of a single bolus, less fibrin and platelet deposition in the dialyzer, and perhaps more importantly, less osteoporosis, hyperkalemia, and abnormal lipoprotein profile. Although regional anticoagulants are available, these are often prohibitively expensive or require increased complexity of the dialysis procedure (e.g., citrate), but have the advantage of reducing the risk of bleeding when compared to heparin. Thrombin inhibitors are now available, and with the advent of argatroban, which is metabolized in the liver, have become the anticoagulants of choice for the few patients who develop heparin-induced thrombocytopenia type II.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".