Evaluation of Canadian Coast Guard clothing ensembles
Bibliographic record
Abstract
Canadian Coast Guard can operate in environments that have extremely low temperatures, requiring the use of specialized clothing to help protect personnel from the cold. The Canadian Coast Guard has requested the assistance of the National Research Council Canada’s Ocean, Coastal, and River Engineering research center in measuring the thermal insulation of different clothing ensembles their personnel may use. Various clothing ensembles were tested using a thermal manikin, NEMO, to measure the amount of thermal insulation they provide. All tests were performed in the thermal measurements lab which maintained a constant air temperature of 4°C. NEMO was dressed in each ensemble, programmed to maintain a skin temperature of 35°C, and allowed to reach a thermal steady state. Once NEMO reached a thermal steady state, at least 60 minutes of data was collected, with the last 30 minutes being averaged to calculate the thermal insulation of the ensemble. Each test was repeated twice, for a total of three tests. The average of the three tests was used as the thermal insulation value of each ensemble.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".