Substrates and Sowing Depths in the Production of Pansy Seedlings (Viola tricolor L.)
Bibliographic record
Abstract
The success of seedling production for ornamental or any other crops depends on several factors, including the use of highquality seeds and the choice of suitable substrates. The aim of this work was to evaluate the use of different organic residues as substrates and sowing depths on the emergence and initial development of pansy seedlings. Two lots of pansy seeds were used. Seed lot quality was evaluated for water content determination, 1000-seeds weight, germination, first count of germination, accelerated aging, seedling emergence in sand. Post emergence was evaluated by the emergence speed index, shoot length, shoot dry matter and number of leaves. The experiment was performed under completely randomized design, with four replicates. Data were submitted to analysis of variance through the F-test and the means, compared to each other by the Tukey test, at 5% probability. The most indicated sowing depths for the development of pansy seedlings were 1.5 and 2 cm while the substrate which presented the best results was the Beifort® S10.
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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".