Developments in Ultra-Fast Temperature Programming with Silicon Micromachined Gas Chromatography: Performance and Limitations
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Bibliographic record
Abstract
Various commercially available ultra-fast temperature programming approaches were integrated to silicon micromachined GC (micro-GC) for performance improvement assessment. The combined technique of micro-GC and ultra-fast temperature programming up to a rate of 6°C/second yielded an extended analysis range to undecane (nC(11)), improved signal detectability by at least a factor of three for the solutes studied with respectable one day reproducibility of less than 1% relative standard deviation in retention time (n = 20). Through careful control of various variables affecting retention time, performance improvements can be extended further. The various effects temperature programming has on the stability of thermal conductivity detector as well as criteria that need to be met for the successful implementation of ultra-fast temperature programming in micro-GC are presented.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it