Experimental validation of a regression‐based predictive model for elastic constants of open mesh tubular diamond‐braid composites
Bibliographic record
Abstract
Abstract The prediction of elastic constants of open‐mesh diamond braids has not been adequately studied. The objective of this work is to provide a further comparison of longitudinal elastic and shear moduli regression equations previously developed with experimental data from in‐house experiments; to determine the regression equations linearity limits; and to provide a validated predictive model for E x, E y and G xy for large open mesh composites. The results of the model match well with experimental findings for close‐mesh braided composites; however, for open‐mesh braided composites the results show differences. Also, the lower linearity limit (LLL) of the model for different fiber‐matrix systems were calculated and discussed. The comparison of initial experimental findings of the open‐mesh structures and the model suggests a full characterization of the model can be possible by increasing the experimental data pool in the literature which is currently very limited. POLYM. COMPOS., 2011. © 2010 Society of Plastics Engineers
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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 | 0.002 | 0.003 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".