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.
Bibliographic record
Abstract
Abstract Deep hole drilling represents the most economical method of hole producing with length-to-diameter ratios ≥5. The objective of this study was to ascertain the effect of machining parameters on hole quality produced by the deep hole machining process and to develop a better understanding of the effect of these process parameters on the hole quality. Such an understanding can provide insight into the quality control problems of the holes when the process parameters are adjusted to obtain certain characteristics. This study deals with the experimental results obtained during boring trepanning association (BTA) drilling on medium carbon steel (AISI 1060). The surface roughness, out-of-roundness, and hole size are influenced by cutting speed and feed rate of the deep hole drilling. 5.0 ACKNOWLEDGMENTS The author gratefully acknowledges the use of the laboratory facilities at Jordan University of Science and Technology, Irbid, Jordan, and Concordia University, Montreal, Canada.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it