MétaCan
Menu
Back to cohort
Record W2394341510

The main climate factors affecting wax excretion of Ericerus pela Chavannes Homopetera Coccidaeand an analysis of its ecological adaptability

2007· article· en· W2394341510 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEurope PMC (PubMed Central) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicResearch on scale insects
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsWaxAdaptabilityExcretionEcologyEnvironmental scienceScale (ratio)BiologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Chinese white wax scale,Ericerus pela Chavannes, is an important resource insect that excretes white wax with economic value. The ecological adaptability of this scale has been disputed for a long time. In this paper, the wax excretion mechanism of E. pela was studied depending on the wax excretion and ecological observation of this scale in Emei mountain of Sichuan province, and Kunming and Zhaotong of Yunnan province. The results showed that both the wax excretion amount and the mortality of E. pela in severe environment were higher than those in normal environment. So wax excretion amount was not a appropriate index for evaluating the ecological adaptability of the scale as traditionally considered. The reasons of breeding reproductive females in high mountain areas and producing white wax in low mountain areas were analyzed also in this paper. The areas suitable for the growth of the scale had the following climatic conditions: the annual average temperature was 11℃-16℃, the annual rain fall 800-1 200 mm/a, the annual relative humidity about 75% and the annual light hour 1 900-2 500 h/a. The results suggested that wax excretion of E. pela was an ecological strategy and a protective response to severe environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.263
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it