Bibliographic record
Abstract
A concise, easily evaluated analytical expression for the error in thermal conductivity measurement by the guarded hot plate, due to heat exchange with the ambient air, is derived assuming that the temperature distribution along the specimen edges may be represented by a mean temperature. This solution agrees closely with one presented by Somers and Cyphers for the special case of the specimen edges held at the cold plate temperature. The error is shown to depend upon three dimensionless parameters: (a) the ratio of guard ring width to specimen thickness; (b) the ratio of the length of side of the test area to specimen thickness; and ( c) a number between zero and unity whose value is determined by the specimen-edge-temperature distribution. The ASTM specimen thickness requirements are based only upon the first parameter. The approximate effect of the size of the test area upon the error is described. A procedure is proposed for testing, when necessary, very thick specimens. This involves the measurement of the specimen-edge- temperature distribution during test (with or without edge insulation), calculation of the error, and correction of the measured conductivity.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".