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Record W7133020778

F2-laser microfabrication of lab-on-a-chip structures

2005· dissertation· W7133020778 on OpenAlex
Stephen PaulChi Ho

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldEngineering
TopicNear-Field Optical Microscopy
Canadian institutionsUniversity of TorontoLibrary and Archives Canada
Fundersnot available
KeywordsMicrofabricationSurface micromachiningMicrofluidicsBiophotonicsFabricationLaserMicroheaterLaser ablation
DOInot available

Abstract

fetched live from OpenAlex

For cellular biology, the idea of incorporating the capabilities of sample preparation, transport, reaction and analysis on a single chip has recently been revisited due to the development of a new generation of microfabrication tools. The rapid growth of interest in the microfabrication of lab-on-a-chip devices is fueled both by academia and industry because of the potential impact in fields such as biomedical, chemistry and biophysics. Direct photoablation with lasers has advantages of rapid prototyping, custom production and design flexibility. In this thesis, the microfabrication of lab-on-a-chip structures for biophotonics application using F2 laser are presented. Fabrication of buried and surface waveguides provides a means of probing bio-materials. Investigation of F2-laser welding allows potential fusing for enclosure glass biochips. A combination of laser micromachining and refractive index profiling enable single-step integration of optical waveguides with microfluidic functions for optical sensing of microspheres which lays the groundwork for microfabrication of biochips.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.010
GPT teacher head0.306
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it