Design and performance of a 96 cell thermally controlled multi-cell instrument
Bibliographic record
Abstract
This paper describes the design, construction, and evaluation of a thermally controlled multi-cell instrument containing ninety-six independently controlled cells (designated as the TCMCI-96). Each cell was designed to operate over a temperature range of -20oC to +50oC with accuracy to the setpoint of ± 0.2oC compared to the setpoint requested by the operator at any point within the specific cell temperature cycle. The TCMCI-96 instrument was designed to meet the temperature range and accuracy objectives as well as a number of engineering design objectives to improve overall utility and serviceability when compared to the instrument reported by McLaughlin et al. (1985) and a previous one hundred and seventy-six cell version (designated as the TCMCI-176). This paper describes the design and illustrates the utility, flexibility, and accuracy of the TCMCI-96 by presenting data from biological studies conducted within the TCMCI facility at the Saskatoon Research and Development Centre. The temperature accuracy performance objective was not met as the TCMCI-96 achieved a ± 0.3oC accuracy compared to the set point. The temperature range and cycle frequency objectives were met and can be reliably used provided humidity around the instrument is controlled correctly.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".