The 12th International Conference on Continuous Renal Replacement Therapies (CRRT). March 7–10, 2007, San Diego, Calif.
Bibliographic record
Abstract
Introduction: Acute renal failure (ARF) was recently identified as an independent prognostic factor.This late discovery was partially caused by luck of consensus concerning ARF definitions.A huge step towards consensus was recently reached by wide adoption of the RIFLE criterions for ARF definition.In obstetrics, we face also widely disparate definitions for ARF.Some risk factors were clearly retrieved in the majority of studies.Meanwhile, no proof exists if ARF is a mortality risk factor in the critically ill obstetric patients.Objective: Try to determine if ARF is related to mortality in the critically ill obstetric population.Patients and Methods: Open prospective observational study.Setting: Medical surgical intensive care unit part of a university affiliated hospital.Inclusion criteria: critically ill obstetric patients.Exclusion criteria: Chronic renal failure and Kidney transplant.Study period:
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.070 | 0.031 |
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".