Investigation of the high-throughput analytical performance of an FPA-FTIR imaging system
Bibliographic record
Abstract
Focal plane array (FPA) FTIR imaging spectroscopy provides unprecedented levels of spatially resolvable chemical information for analysis of samples at the micrometer scale.This study evaluates the quantitative performance characteristics of the individual detector elements comprising the FPA camera, and applies them to making analytical measurements of a custom designed microfluidic multichannel transmission cell.Lube throughout my research proved to be an invaluable experience, and I thank Dr. Emmanuel Akochi-Koblé and Dr. Tao Yuan for their assistance during this time.Andrew Ghetler, Moeed Haq, and Jacqueline Sedman were each instrumental in giving me a sense of direction during this project, and I thank them each very much for their insight and respective contributions to my work.Various machine shops assisted in the fabrication of necessary components for this project, thus I acknowledge the staff at the physics, mechanical engineering, and farm machine shops of McGill for their professional and timely assistance.Last but
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".