The ideal tool for decorators: a novel use for disposable laryngoscope blades
Bibliographic record
Abstract
The International Climate Change Conference in Montreal in December 2005 raised awareness of the potential for catastrophic climate change as a result of human actions. It behoves all of us to reduce greenhouse gas production and minimise energy expenditure by recycling. Anaesthesia is the only branch of medicine that actively recycles its drugs. By using low flow, circle breathing systems, exhaled inhalational agents are recycled and readministered. Anaesthetists have extended this approach to the recycling of glass and plastics from the operating room.1 2 Concerns about the potential for transmission of prions such as that for variant Creutzfeldt-Jakob disease by laryngoscope blades has prompted a move towards disposable, single use laryngoscope blades. The move away from resterilisation may make sense in terms of economics and health, but at the cost to the environment. We noticed that the tip of a Timesco (London, UK) Callisto Mackintosh disposable laryngoscope blade fitted perfectly between the rim and lid of a tin of paint. This, coupled with the smooth contour, which fitted comfortably into the hand, led us to investigate which of the three commercially available blade sizes (2, 3, and 4) needed the least force to open tin lids. The null hypothesis for the study was that the forces needed would not differ. We hand washed three Timesco Callisto Mackintosh blades, previously used on patients not known to have transmissible …
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".