EVALUAREA ŞI AUTOEVALUAREA DURERII ACUTE LA COPIL
Bibliographic record
Abstract
Studiul durerii a făcut progrese atât în domeniul fundamental (mecanismele durerii), cât şi în practica clinică. În managementul durerii, evaluarea şi autoevaluarea sunt esenţiale, o analgezie adecvată având efecte favorabile imediate şi pe termen lung, deoarece durerea este un factor major care afectează calitatea vieţii. În acest domeniu de aplicare, cercetătorii au elaborat scale de autoevaluare a durerii şi măsurători comportamentale/scale de observaţie a durerii, cum ar fi : Chestionarul Mc Gill, Scala Analoagă Vizuală, Scala Obiectivă de Durere, Scala de Gradare a Durerii pe categorii de vârstă: Scala Oucher pentru 3-7 ani vârstă sau Scala CHEOPS (Scala de Durere a Spitalului de Copii din Ontario de Est). Trecerea în revistă a acestor scale generează concluzia: „standardul de aur” al măsurării durerii este autoevaluarea, la care se adaugă măsurătorile comportamentale şi-n fi nal măsurătorile biologice, care refl ectă răspunsul organismului la durere.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".