Supplementary Data 2 - Virus sequences
Bibliographic record
Abstract
Supplementary Data 3 - Virus sequences for: Candidate DNA and RNA viruses of Drosophila suzukii from Canada and Germany, and their interactions with WolbachiaJan P. Dudzic1,2, Audrey E. McPherson1,3, Keelie E. Taylor1, Astrid Eben2, Paul K. Abram1,4, Steve J. Perlman1*1 Department of Biology, University of Victoria, Victoria, British Columbia, Canada2 Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany.3 Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada4 Agriculture and Agri-Food Canada, Agassiz Research and Development Centre, 6947 Highway 7, PO Box 1000, Agassiz, BC V0M 1A2, Canada
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.626 | 0.397 |
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".