WOOD DENSITY AND EXTRACTIVE CONTENT VARIATION AMONG JAPANESE LARCH (LARIX KAEMPFERI, [LAMB.]CARR.) PROGENIES/PROVENANCES TRIALS IN EASTERN CANADA
Bibliographic record
Abstract
Twelve years old Japanese larch ( Larix kaempferi , [Lamb.]Carr.) stems of 20 different progenies and/or provenances were obtained. Two disks of 5 cm thickness were cut at approximately 0.25 m and 2.7 m from the ground. Two wedges were cut from each disk to determine basic density at these two heights. The remaining log was used to obtain standard samples for the determination of basic and oven-dry densities closest to the bark. The adjacent material of standard samples was used to produce sawdust for the determination of hot-water extractive content. Basic and oven-dry densities were then corrected by the mass of extractives. Wedge basic density showed a significant variation along the stem. Density was higher at 0.4 m than at 2.75 m in height. However, no significant effect of progeny/provenance was found, nor for basic and oven-dry densities. Once these densities were corrected, the progeny/provenance showed a significant effect which allowed a progeny grouping by density. Hot-water extractive content was also significantly affected by the progeny/provenance and it varied between 2.9 to 6.9%. Progeny 7280 would have an interesting potential among progeny/provenance for lumber and pulping uses as it showed the lowest extractive content, the highest corrected densities and high growth rate. In general, corrected densities and extractive content would be more appropriate for a preliminary selection of the progenies/provenances according to the final utilization. Further studies of other wood properties would be necessary to confirm these results.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".