An assemblage of predatory mites (Phytoseiidae) associated with a potential biocontrol agent (Cecidophyes rouhollahi; Eriophyidae) for weed Galium spurium (Rubiaceae)
Bibliographic record
Abstract
The weed Galium aparine L., commonly known as cleavers or goose grass, is an exotic plant in New Zealand (Webb et al. 1988; Reid 1998). Craemer et al. (1999) described a new gall mite species, Cecidophyes rouhollahi Craemer (Acari: Eriophyidae), from this weed in France and suggested that this new species might have potential as a biological control agent against G. spurium L. in Canada and western US where the weed was becoming more problematic (Malik & Vanden Born 1988; Whitson 1991). This mite species was later shown to result in severe stunting and complete prevention of seed production in a related weed G. spurium in greenhouse tests and was approved for field release against this weed in Canada (Sobhian et al. 2004). This mite species was recently reported on G. aparine from Auckland, New Zealand (Martin 2017). Mites prefer feeding on the young terminal leaves and can induce the leaf edges to roll inwards and curl (Fig. 1A, B, E). Martin (2017) noted: “No natural enemies of this species of mite have been recorded, but predatory mites may feed on these mites”. We report here on an assemblage of predatory mites (Phytoseiidae) associated with C. rouhollahi on G. aparine in Auckland.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".