Geometry of plain weave fabric under shear deformation. Part II: 3D model of plain weave fabric before deformation
Bibliographic record
Abstract
The main attempt of this investigation is to establish a model for evaluating internal geometry of woven fabric. A new concept about packing density of yarns inside of fabric is putted in forward and then internal geometry of fabric before deformation is predicted by common data of a fabric. A numerical analysis has been performed for two kinds of actual plain weave fabric on the basis of proposed model. The geometrical specifications of these fabrics are successfully evaluated. This model is to be expanded for predicting shear deformation of fabric in subsequent Part III (Kamali Dolatabadi & Kovař, 2009b Kamali Dolatabadi, M. and Kovař, R. 2009b. Geometry of plain weave fabric under shear deformation. Part III: 3D model of plain weave fabric under shear deformation. Journal of Textile Institute, 100: 387–399. [Taylor & Francis Online] , [Google Scholar]).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".