Cultivation and Propagation of Iris laevigata Fisch., an Endangered Ethno-medicinal Plant of Imphal Valley Manipur, India
Bibliographic record
Abstract
Iris laevigata Fisch., is restricted geographically in Manipur, north eastern India. An experiment was planned with Factorial Randomized Block Design during 2018 to 2020 (3 seasons) in the study plots of ICAR Research Complex for NEH Region, Manipur Centre, Lamphelpat. The study encompasses on the growth and development of I. laevigata seedlings collected from Ipa Thoukok Complex: influenced by spacing, trimming and correlations amongst the growth parameters, so as to validate the most favourable conservation method for this endangered plant. Among the treatments, T6 = S2T3 (45 cm × trimming 40 DAT) was found the best treatment. T9 = S3T3 (60 cm × trimming 40 DAT) was second, T3 = S1T3 (30 cm × trimming 40 DAT) was the third and lowest was found in case of T1 = S1T1 (30 cm × 0 trimming, i.e., without trimming). Strong positive correlation between leaf surface area and plant height on the growth and development was found to be effective among other correlations.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".