The Pediatric Nausea Assessment Tool: French translation and face validity in Francophone-Canadian pediatric oncology patients
Bibliographic record
Abstract
Chemotherapy-induced nausea and vomiting (CINV) continue to negatively influence the quality of life of both adult and pediatric cancer patients (Dupuis et al., 2010; Farrell et al., 2013; Russo et al., 2014; Hinds et al., 2009; Sommariva et al., 2016). Vomiting and retching are symptoms that can be assessed objectively while nausea, a subjective symptom, is more difficult to quantify. Adult cancer patients can usually describe the severity of the nausea they feel using self-report visual analog or adjectival rating scales. Instruments such as the Multinational Association of Supportive Care in Cancer Antiemesis Tool (available from www.mascc.org) have been validated for this purpose and are recommended by experts in the field (Hesketh et al., 2015).
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".