Quality of the Multi-scale Interphase of Hemp Stems: Retting Effect
Bibliographic record
Abstract
The control of hemp plant harvesting, in particular the retting process, represents the major step for the development of high-performance hemp biocomposites.In this study, the consequences of hemp retting on the ease of fibre extraction and tensile properties of elementary hemp fibres is explored.Stem peeling experiments are combined with scanning electron microscopy (SEM) to investigate the influence of the retting degree in plants.After studying the evolution of fracture energy at the fibre/woody core interphase within the stem, this work investigates interphase fracture mechanisms during peeling experiments which aims to understand the evolution of fibre bundle cohesion during retting.A drastic drop of fracture energy reveals the impact of retting on the ease of peeling the outer tissue of the stem (containing fibre bundles).The positive impact of retting on various fibre defects combined together leads to a 33 % increase in the tangent modulus between non-retted and retted fibres, highlighting the importance of understanding the retting process to open up to new markets for biocomposites.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".