Electro-Fluidic Packaging for CMOS Based Laboratory-on-Chips
Bibliographic record
Abstract
Direct-write fabrication process (DWFP) is a robotic deposition technique used to produce planar or three-dimensional (3D) microscale structures. These structures consist of paste-like filaments which are extruded through a micronozzle and deposited on a substrate [1]. These filaments are encapsulated inside an epoxy resin and then melted and removed by applying a moderate temperature for the creation of microfluidic components (e.g., microchannels, reservoirs). Following our previous reports [2–3] on the fabrication of microchannels by DWFP and high precision CMOS capacitive sensors [4], we present in this paper a microfluidic packaging procedure to realize microchannel and fluidic connections on top of CMOS chip. The compatibility of this fluidic packaging procedure with conventional electrical packaging techniques (e.g. wire bonding) is an important advantage of DWFP for CMOS based Laboratory-On-Chip applications. The fabrication challenges are discussed in the experimental section.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".