Évaluation de l’endurcissement au froid et de la reprise de la croissance de quatre cultivars de rosiers de la Série Explorateur<sup>MC</sup>
Bibliographic record
Abstract
Des tests de congélation en conditions contrôlées ont été réalisés au cours des automnes 1999 et 2000 sur des plants entiers de Rosa ‘Captain Samuel Holland’, de R ‘Champlain’, de R. ‘John Davis’et de R. ‘William Baffin’afin de déterminer la température la plus froide à laquelle ils peuvent survivre. En général, les différentes parties des plants se sont endurcies au froid entre la première série de tests (octobre), la deuxième série (novembre) et/ou la troisième série (décembre). Les TL50 associées à la survie des plants se rapprochent des T50 se rapportant aux dommages les plus sévères survenus sur les racines et des TL50 se rapportant aux dommages observés à la base de la partie aérienne des plants. Les plants qui ont survécu aux températures se situant immédiatement au-dessus des TL50 de la reprise accusent une diminution de croissance souvent très importante. La TL50 de la reprise des plants du cultivar ‘Champlain’é tait de l’ordre de -14,5 °C lors de la troisième série de tests alors que celles des autres cultivars variaient de -19,5 à -23,0 °C. Key words:
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".