Study of geographical variation in kiln-drying behavior of plantation-grown white spruce
Bibliographic record
Abstract
Whitc spruce (Pic.atr,y1(111c,o (Moenchl Voss) is one of the most important tree species for reforestotion in Canada.Ovcl-thc past 30 years, hundreds of thousands of hectares were planted.Plantationgrown wood will become an important source of supply for the lumber industry in the near future.Plantation wood i\ generally known to have a greater proportion of juvenile wood than that from natural stands.For this reason.cluality attributes of lumber from plantations might be considerably reduced, e\pccially after kiln-drying.However, these quality attributes might be influenced by the origin of the serd sources used for the reforestation program.The main purpose of this study was to investigate the genetic variation in the effect of kiln-drying under restraint on shrinkage and warp of dimen\ion lumber processed from 26 provenances originating from the Great Lakes and St. Lawrence Region.Two drying treatments were applied, i.e. conventional and high-temperature drying.Analyses of v~iriance showed no significant dirferences among provenances for any type of shrinkage (longitudinal shrinkage.shrinkage in thickness.shrinkage in width) or warp (bow, crook, twist) measurements.For the cflkct of the drying treatment, it was significant only in the case of shrinkage in width.Kr\.\~.ortl.\:Kiln-drying.reslraint.shrinkage, warp, plantation' SCC I':~hle I l r n dcltnlll<u,\.'ill.dt.f~cc\ 01 ftcrduln.dln.dcgrec, 01 Ilrrili,m r l t the niimel:ltol.did.degrccr ot I!.eedorn ot the ilcnomtn;lt<,r -'K;tnilom cficcl\ die nc,l \hewn heuauw tlic) arc 1101 <,I Intslt.\lIn thc cul.lcnt \ludy.
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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 | 0.000 |
| 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) | 0.001 | 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".