DATASET FOR: High-Quality Freeform Machining of Chemically Strengthened Glass Using Spark Assisted Chemical Engraving
Bibliographic record
Abstract
This dataset contains the raw experimental data and microscopic images supporting the findings of the manuscript "High-Quality Freeform Machining of Chemically Strengthened Glass Using Spark Assisted Chemical Engraving." The research investigates the application of Spark Assisted Chemical Engraving (SACE) for the high-quality freeform cutting of Chemically Strengthened Glass (CSG), specifically Corning® Gorilla Glass 3. The data was generated using a custom Response Surface Methodology (RSM) to systematically evaluate the effects of key SACE parameters (Voltage, Cutting Speed, Electrolyte Concentration) on final cut quality. The dataset includes the complete experimental design (32 runs) and the corresponding measured responses used for statistical analysis and model generation in the manuscript. The raw microscopic images provide visual evidence of the cut quality under various machining conditions.
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.
How this classification was reachedexpand
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.010 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".