ClubrootTracker: A Resource to Plan a Clubroot-Free Farm
Bibliographic record
Abstract
Clubroot is a devastating disease affecting cruciferous crops worldwide. Clubroot was first described in the 13th century in Russia and from that moment has been affecting European, Asian, and American brassica production. Plasmodiophora brassicae is the clubroot causal agent, and it is an obligate intracellular parasite that, as soil-borne resting spores, can remain viable in soil for many years. This persistence in the soil is a major negative contributing factor to the management of clubroot disease and highlights the importance for brassica growers to have ready access to current information on the distribution of the pathogen. The interactive online tool ClubrootTracker ( http://clubroottracker.ca ) has been developed to enable users to view pathogen and disease presence in geographic locations across the world. ClubrootTracker, as described in this manuscript, has been developed to provide brassica farmers a tool that will contribute to clubroot management and aid in planning a clubroot-free farm. This tool is an open resource that has the main goal of acquisition of GPS information in reporting the pathogen or the disease by the researchers working with it around the world.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.175 | 0.077 |
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".