<i>Neolema ogloblini</i> exploring a new option for the control of tradescantia (<i>Tradescantia fluminensis</i>)
Bibliographic record
Abstract
The tradescantia leaf beetle (Neolema ogloblini) was released in 2011 as a biological control agent for tradescantia (Tradescantia fluminensis) one of New Zealands worst environmental weeds Tradescantia prevents native forest regeneration by growing over and shading out native seedlings at ground level To assess N ogloblinis effectiveness a glasshouse experiment compared ground level light readings before and after beetle feeding and the response of two native seedlings kawakawa (Macropiper excelsum) and mahoe (Melicytus ramiflorus) Feeding damage caused light readings to increase above 5 of fulllight the threshold estimated as necessary for regeneration of native plants by previous research This resulted in a significant increase in kawakawa seedling height and leaf length This study suggests that native forest regeneration may benefit from feeding damage to tradescantia caused by N ogloblini in the field
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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) | 0.000 | 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) | 0.003 | 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 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".