The Effect Pineaple Rind Extract (Ananas comosus L.) (Merr var. cayenne) Attack Intensity Cauliflower’s Pests (Brassica oleracea var. botrytis L. subvar. Cauliflora DC.)
Bibliographic record
Abstract
The effect of pineaple rind extract (Ananas comosus (L.) Merr var. Cayenne) towards the intensity of pests attack from cauliflower (Brassica oleracea var. botrytis L. subvar. cauliflora DC.). The purpose of this research is to find out the effect of pineaple rind extract (Ananas comosus (L.) Merr var. Cayenne) towards the intensity of pests attack from cauliflower (Brassica oleracea var. botrytis L. subvar. cauliflora DC.). This research has been held for 2 months. The field reseach was held in the field in Loa Ipuh Laut Kecamatan Tenggarong Kota. This research used Random group design (RAK) with five treatments (control included) that has been repeated for twenty five times. Every treatment was 25 %, 50 %, 75 % and the control (without treatment) then was analyzed by using Anaysis of Variance (ANOVA) and was continued with BNJ test 5 %. The result of the research showed that every value was Farithmetic (46,79) (212,3) (66,14) (194,96) (82,11) > Ftable (3,01) it can be concluded that the allotment of vegetal pesticide from pineaple rind (Ananas comosus (L.) Merr var. Cayenne) can decrease the intensity of pests attack from cauliflower (Brassica oleracea var. botrytis L. subvar. cauliflora DC.).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".