Overcoming Dormancy in Seeds of Amazonian Species
Bibliographic record
Abstract
Despite the importance of the Amazonian species Schizolobium amazonicum, there is still no official protocol to favor the germination process of its seeds. The objective of this study was to evaluate methods of overcoming dormancy of paricá seeds and the quality of seedlings produced. The work was carried out at the Federal Institute of Education, Science and Technology of Tocantins-Campus Araguatins. The experimental design was a completely randomized design with seven treatments and four replications. The treatments consisted of: intact seeds; lateral mechanical scarification of the tegument with electric emery for 2 seconds; lateral mechanical scarification of the tegument, using sandpaper number 50 for 1 minute + immersion in water at room temperature for 12 hours; chemical scarification of the tegument with caustic soda at 20% concentration for 30 minutes; chemical scarification of the tegument with caustic soda at a concentration of 20% for 45 minutes; immersion in water at 80 ºC + stay in water (room temperature) for 12 hours; immersion in water at 90 ºC + stay in water (room temperature) for 12 hours. The treatment with lateral mechanical scarification of the integument using electric emery for 2 seconds is the most suitable for overcoming dormancy in paricá seeds. Methods of overcoming dormancy had no influence on the quality of paricá seedlings.
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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 | 0.000 | 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) | 0.001 | 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".