Canadian Acute Respiratory Illness and Flu Scale (CARIFS) for Clinical Detection of Influenza in Children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Validated clinical scales, such as the Canadian Acute Respiratory Illness and Flu Scale (CARIFS), have not been used to differentiate influenza (FLU) from other respiratory viruses. METHODS: Secondary analysis of a prospective cohort presenting to the emergency department (ED) with an influenza-like infection from 2008 to 2010. Subjects were children aged 0 to 19 years who had a venipuncture and respiratory virus polymerase chain reaction. Demographics and CARIFS items were assessed during the ED visit; comparisons were made between FLU and non-FLU subjects. RESULTS: The 203 subjects had median age 30.5 months; 61.6% were male. Comorbid conditions (51.2%) were common. FLU was identified in 26.6%, and were older than non-FLU patients (69.7 vs 47.9 months, P = .02). Demographic, household factors, and mean CARIFS score did not differ between FLU (33.7), and non-FLU (32.0) (mean difference 1.6, 95% CI: -2.0 to 5.2) groups. CONCLUSIONS: CARIFS cannot discriminate between FLU and non-FLU infection in ED children with influenza-like infection.
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.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it