Bibliographic record
Abstract
OBJECTIVE: report on influenza activity in Canada for the week of February 8-14, 2015. METHODS: program and disseminated through weekly reports during the activity influenza season and bi-weekly reports during the low season. RESULTS: In week 6, influenza activity levels declined for six surveillance indicators. Seven regions reported widespread activity: Ontario (2), Quebec (2), Manitoba (1), Prince Edward Island (1) and Newfoundland (1). Twenty-one regions reported localized activity: New Brunswick (7), Nova Scotia (5), Ontario (5), Alberta (1) and Manitoba (1), and 22 regions reported sporadic activity. The national influenza-like-illness (ILI) consultation rate decreased from the previous week to 44.5 consultations per 1,000, which is higher than expected levels for week 6. A total of 74 outbreaks have been reported this week and the majority of outbreaks this season have been reported in long-term care facilities (LTCF). Laboratory detections of influenza decreased from the previous week from 1,884 in week 5 to 1,625 in week 6. The number of positive respiratory syncytial virus (RSV) tests decreased to 914 RSV detections down from 1,110 RSV detections in week 5 and remains the second most frequently detected virus after influenza. To date, 4,817 influenza hospitalizations and 342 deaths have been reported through the national severe outcome surveillance system; with the majority reported in adults aged 65 and over. In the 2014-15 season, the National Microbiology Laboratory (NML) has characterized 194 influenza viruses and found that the majority of influenza A (H3N2) specimens tested to date was not optimally matched to the vaccine strain; but all those tested for resistance were all found to be sensitive to oseltamivir and zanamivir. Two Canadian studies, one by the Sentinel Physician Surveillance Network (SPSN) and the other by the Canadian Immunization Research Network (CIRN), examined mid-season data on the current influenza vaccine's effectiveness and both studies observed little to no vaccine protection against the A(H3N2) virus. (See ID News). CONCLUSION: report.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.023 |
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".