Bibliographic record
Abstract
In the present study, an effort has been made on pre-harvest physiology of Cymbidium orchid hyb. ‘Pine Clash Moon Venus’ as effected by pre-harvest foliar treatments and post-harvest physiology as effected by bud opening chemicals. Pre-harvest foliar application with GA 3 (50 ppm) + BA (200 ppm) increased length of spikes, rachis length, number of florets per spike and flower longevity on plants in orchids. Longest spike (60 cm), rachis (30cm), highest number of spikes /plant (4) and number of florets per spike (15) were found with GA 3 (50 ppm) + BA (200 ppm). Carbohydrate content in leaf was estimated maximum with BA (200 ppm) (182mg/g) followed by GA 3 (50 ppm) + BA (200 ppm) (170mg/g). Highest per cent of fully opened buds (75%) and maximum vase life (45 days) were recorded with the chemical combination of Sugar 4% + Salicylic acid 200 ppm. Highest content of carbohydrate (140mg/g) was estimated at bud stage in fresh condition. Minimum carbohydrate content (60mg/g) was observed with Sugar 4% + 8-HQS (200 ppm) followed by Sugar 4% + Salicylic acid 200 ppm) (64mg/g).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".