Airline and EpiPen ® Marketer Want Travelers at Risk of Severe Allergic Reactions to Feel Better Prepared
Bibliographic record
Abstract
they are working together on a new initiative that will see the Calgary-based airline equip all of its aircraft with EpiPen ® and EpiPen ® Jr (0.3 mg and 0.15 mg epinephrine) Auto-Injectors. WestJet plans to add the newly redesigned EpiPen ® and EpiPen ® Jr Auto-Injectors, marketed by King Pharmaceuticals Canada™, to the first aid kits in each of its aircraft. Epinephrine is the drug of choice for the emergency treatment of severe allergic reactions (also known as anaphylaxisa). EpiPen ® and EpiPen ® Jr Auto-Injectors are the country’s most-dispensedb epinephrine auto-injectors. WestJet spokesperson Tyson Matheson, VP People Relations and Culture, said the process of equipping the entire WestJet fleet with EpiPen ® Auto-Injectors is expected to be completed by early 2011. According to Matheson, the airline’s aircraft currently carry syringes and vials of epinephrine. For WestJet guests at risk of severe, potentially life-threatening allergic reactions, the redesigned EpiPen ® Auto-Injector offers the enhanced safety feature of needle protection before and after use. “The new EpiPen ® is designed for simplicity in an anaphylactic crisis, and we are pleased to have it available on all WestJet flights, ” said Matheson. “We obviously take the welfare and health of all WestJet guests very seriously and believe that this initiative will offer peace of mind for our guests at risk of anaphylaxis.” Travelers at risk of severe allergic reactions are ultimately responsible for taking all the necessary
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.103 | 0.022 |
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".