Interception of non-indigenous weed seeds in lentil and lentil husk shipments imported from Australia, Canada, U.S.A., and Sri Lanka to India
Bibliographic record
Abstract
Four weed species, non-indigenous to India, were intercepted from lentil and lentil husk import shipments. Raphanus raphanistrum L. in lentil shipment from Australia, Polygonum lapathifolium L. and Thlaspi arvense L. in lentils from Canada and U.S.A., and Echinochloa crus-pavonis (Kunth) Schult. in lentil husk imported from Sri Lanka were intercepted. The extent of contamination by the non-indigenous species was 0.1 to 0.2% by number. The infested shipments were salvaged. The non-compliances were notified to the trading partners on each interception as per the International Plant Protection Convention (IPPC) guidelines. Molecular characterization of intercepted weed seeds is envisaged.
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 | 0.001 |
| 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) | 0.000 | 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".