OATS: DESCRIPTION OF ACCESSIONS ACCORDING TO THEIR RESISTANCE TO ALUMINUM
Bibliographic record
Abstract
The catalogue presents laboratory screening data of a fragment of the oat collection tested for resistance to unfavorable edaphic factors (high level pH and Al content). The purpose of this catalogue was to present a complete database of results on the oat accessions resistance to excessive mobile aluminum in the nutrient medium, obtained from the laboratory research in 2011 and 2014–2019. The aluminum resistance of 554 accessions of seed oats of different eco-geographical origin was studied (samples originated from 22 regions of Russia, from Australia, Austria, Belarus, Bulgaria, Brazil, Great Britain, Germany, Kazakhstan, Canada, Cyprus, China, Kyrgyzstan, Latvia, the Netherlands, Norway, Peru, Poland, Portugal, Slovakia, USA, Turkey, Ukraine, Finland, France, Czech Republic, Switzerland, Sweden, Ecuador, Estonia, and Japan). The catalogue is addressed to experts in the sphere of plant physiology and breeding, lecturers and students of higher education institutions specializing in biology or agriculture.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.045 |
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".