PHENET webinar (29 Nov 24): Plant Health - Validated sensors and methodology
Bibliographic record
Abstract
Presenter: Philipp Vermeulen. In this webinar we address a wide range of biotic interaction in agroecosystems with fungal plant diseases, plant-plan interactions in an intercropping scenario and investigating bumble bee colonies as bioindicators for value and status of landscapes with regard to pollinators. Target audience: Envirotyping and phenotyping community in academic as well as non-academic organizations. Keywords: biotic interactions, plant phenotyping, plant disease, insects, intercropping. Scientific subject: sustainable agriculture, plant protection, ecosystems. Project title: Tools and methods for extended plant PHENotyping and EnviroTyping services of European Research Infrastructures. Funding agency/agencies: European Commission, Grant agreement ID: 101094587, Award Period: 2023-2027. CORDIS website: https://cordis.europa.eu/project/id/101094587
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.290 | 0.189 |
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".