Neutron Non-destructive Inspection for Steel Welding & Resin Form Processing
Bibliographic record
Abstract
In order to promote the industry use of neutrons from inside Ibaraki prefecture, we initiated a collaboration with the union of steel welding in Ibaraki. By using a combined method of neutrons, i.e., radiography (NR), diffraction (ND) and small-angle scattering (SANS), which has recently developed on the iMATERIA instrument (BL20) at MLF in J-PARC, we examined the rod-shaped ferritic steel showing plastic deformation with necking after imposing large elongation of 20 % (the diameter decreases from 14 mm to 10mm, measured by a micrometer caliper). At a position of the necking, we found as follows, (i) near along a direction normal to the rod axis, the diffraction (110) increases 85 % in intensity and decreases 0.03 % in d-spacing (ii) the SANS intensity increases 300 % and (iii) the NR brightness increases 30 %. These findings are attributed to the reorientation of crystals and formation of microvoids under plastic deformation of ferritic steel.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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; 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".