Study on Types and Distribution of Visual Characteristics about Chinese Fir Dimension Lumbers
Bibliographic record
Abstract
The visual characteristics of Chinese fir dimension lumbers was evaluated,and the research on log sawing process and the optimization of dimension lumbers were conducted.The lumbers were graded according to National Lumber Grading Authority—standard grading rules for Canadian lumber(NLGA),and the sample trees were collected from Anhui,Hunan,Sichuan and Fujian provinces.The cross section of specimens was 45 mm×90 mm,and the amount of the lumber was 1 581.The results are shown and analyzed palpably by percentage and histogram.The results show that there is a little difference among the results of each plantation areas.Knots,wane,skips,decay and slope of grain are the main defects causing the lumber to be degraded,and especially the knots are the key factor to visual characteristics of dimension lumbers;82.8% of the dimension lumbers degraded from grade SS to grade No.1 are related to knots,and 86.4% of the dimension lumbers degraded from grade No.1 to grade No.2 are due to wane,skips and knots.It is necessary to research on log sawing,optimize lumber grades and adjust the grading rules for the dimension lumbers produced from the diameter at breast height(DBH) of 15~18 cm.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".