Provenance hybridization in a diallel mating scheme of maritime pine (<i>Pinus pinaster</i>). I. Means and variance components
Bibliographic record
Abstract
Growth and survival from age 1 to 13 years, stem straightness, and resistance to Dioryctria splendidella Herr. Schaff. were assessed in 154 families belonging to interprovenance hybrids of maritime pine (Pinus pinaster Ait.). The hybrids were part of a full 10 × 10 diallel mating scheme. The 10 parental provenances belonging to the three major geographic groups of maritime pine (Atlantic, Mediterranean, and North African) were also included in the experiment as controls. The variance among families within an interprovenance hybrid combination represented only a minor part of the total variance, except for height and survival from age 1 to 3 and resistance to Dioryctria. General combining abilities were more important than specific combining abilities for all traits except for survival during the juvenile stages. General reciprocal effects were only significant for height at age 1 and stem straightness at age 8. A few hybrids between Atlantic and Mediterranean or North African provenances combined the good growth of the former provenance with the excellent stem straightness of the latter ones, suggesting new alternatives for tree improvement.
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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 | 0.001 | 0.001 |
| 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".