Properties of 12-Year Low Thinning Teak Wood for Furniture Production of Communities in Thailand
Bibliographic record
Abstract
The objectives of this research were to study the physical properties of 12-year-old split teak wood and to determine the structural equation model of the utilization of 12-yearold teak by testing the mechanical properties of the wood with techniques from Thai folk wisdom as follows: 1) raw wood, 2) baked wood, and 3) wood soaked in water and dried in the sun, in order to measure the modulus of rupture (MOR) and modulus of elasticity (MOE) values for all three techniques.Moreover, the strength of the wood can be enhanced in order to support the weight by using the technique of soaking the teak wood in water and drying it in the sun.Thus, it can help to effectively reduce production costs as a method that is suitable for the climate of northern Thailand based on four factors: 1) Product Knowledge, 2) Policy and Social Requirements, 3) Material, and 4) Production Procedure by promoting the use of teak in the community in order to demonstrate good environmental friendliness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".