Photonics North 2006 : 5-8 June 2006, Quebec City, Quebec, Canada
Bibliographic record
Abstract
[Show Abstracts] To view an abstract for an individual paper, or place a paper order, click the paper title. 634301 All reflective optical delay line for real-time optical coherence tomography Chia-Yun Kao, Ian Chao-Ming Chang, Max Ti-Kuang Hou, I-Jen Hsu 634302 Large area full-field optical coherence tomography Shoude Chang, Sherif Sherif, Costel Flueraru 634303 Dental caries detection by optical spectroscopy: a polarized Raman approach with fibre-optic coupling A. C.-T. Ko, L.-P. Choo-Smith, J. Werner, M. Hewko, M. G. Sowa, C. Dong, B. Cleghorn 634304 Development of a laser speckle imaging system for measuring relative blood flow velocity Michael S. Smith, Ernie F. Packulak, Michael G. Sowa 634305 Using fluorescence to augment the efficacy of photodynamic therapy Dwayne J. Dickey, Weiyang Liu, Selvaraj Naicker, Thomas Woo, Ronald B. Moore, John Tulip 634306 In vitro studies of the efficiency of two-photon activation of photodynamic therapy agents Mamta Khurana, Aliaksandr Karotki, Hazel Collins, Harry L. Anderson, Brian C. Wilson 634307 Optimization of nonlinear excitation for reducing light-induced changes in photosynthetic systems during imaging with multimodal microscopy Richard Cisek, Arkady Major, Nicole Prent, Catherine Greenhalgh, Virginijus Barzda 634308 Dynamic investigation of Drosophila myocytes with second harmonic generation microscopy Catherine Greenhalgh, Bryan Stewart, Richard Cisek, Nicole Prent, Arkady Major, Virginijus Barzda 634309 Animal model for two-photon excitation in the eye Mark Bird, Melanie C. W. Campbell.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.441 | 0.120 |
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".