Field Crop Yield Loss Calculator for Disease and Invertebrate Pests: An Online Tool from the Crop Protection Network
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Field Crop Disease and Invertebrate Loss Calculator Web Tool is an interactive online resource showcasing estimates of the yield reduction and economic impact of plant diseases and invertebrate pests over time and location. Accessible through the Crop Protection Network website ( https://www.cropprotectionnetwork.org ), this free online research tool was developed to inform agronomists and researchers across industry and academia, extension workers, commodity groups, and funding agencies about the impact of crop disease and invertebrate pests. The tool enables widespread user access through commonly used web browsers on computers, tablets, and mobile devices. Yield loss estimates are generally obtained through annual surveys of university-affiliated specialists or others with experience in crop protection. Production data are primarily obtained from U.S. and Canadian government agencies. A detailed understanding of the economic impacts of plant disease and invertebrate pests provides valuable information that can inform the allocation of resources to reduce losses in major field crops. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
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.
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 | 0.000 | 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) | 0.000 | 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 it