<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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".