Bibliographic record
Abstract
Trauma é uma das principais causas de mortalidade no mundo. A principal causa de óbitos das vítimas de trauma, nas primeiras 24 horas após a lesão, é o sangramento maciço. Os pacientes politraumatizados podem desenvolver graves distúrbios de coagulação relacionados à perda de grandes volumes de sangue e fatores de coagulação, à reposição volêmica com cristalóides e com concentrados de hemácias, à acidose e à hipotermia. O controle deste tipo de situação tem sido um grande desafio para cirurgiões e intensivistas. Além disto, as vítimas de trauma formam um dos maiores grupos de consumidores de sangue e seus derivados. Recentemente, a adequação destes grandes volumes de transfusão tem sido questionada, principalmente em decorrência da ausência de protocolos bem definidos e testados clinicamente. O objetivo deste artigo foi rever a literatura atual conceituando coagulopatia do trauma e descrevendo as mais recentes orientações para a hemoterapia direcionada às vitimas de trauma.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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".