Mechanical properties of Canadian coastal Douglas-fir and Hem-Fir.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A testing program was conducted to investigate the modulus of etlasticity (MOE) and bending strength of Canadian coastal Douglas-fir and Hem-Fir timber. The two species were sampled in three sizes, i.e., 105 by 210 mm (4 by 8 inch), 105 by 305 mm (4 by 12 inch), and 305 by 305 mm (12 by 12 inch). MOE and bending strength were measured in a proof loading test. The proof load stress was intended to break approximately 15 percent of each sample. MOE and bending strength were adjusted to a standard moisture content of 15 percent during data analysis. The data developed in this study will be used to make technical submissions for review of the design properties currently assigned to coastal Douglas-fir and Hem-Fir.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it