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Record W4309473259 · doi:10.1080/09670874.2022.2145521

First record of damage by the red palm weevil, <i>Rhynchophorus ferrugineus</i> (Olivier, 1790) in sugarcane fields in China

2022· article· en· W4309473259 on OpenAlex
Zhen‐Qiang Qin, De‐Wei Li, Ya‐Wei Luo, Xing Huang, François R. Goebel, Zhongshi Zhou

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

VenueInternational Journal of Pest Management · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsMinistry of Agriculture
FundersNatural Science Foundation of Guangxi ProvinceNational Natural Science Foundation of China
KeywordsRhynchophorusWeevilPalmBiologyCanePEST analysisChinaHorticultureInfestationAgronomyToxicologyBotanyGeographySugarArchaeology

Abstract

fetched live from OpenAlex

The red palm weevil, Rhynchophorus ferrugineus is one of the alien species of high risk in China and a key pest of palm trees. This paper presents the first status report of the damage caused to sugarcane by R. ferrugineus in China. The first observation of damage was recorded in Changling farm in Shangsi County, Guangxi Province, on a small plot in October 2017 and the recorded damage level, exceeded 80% with cane stalks completely destroyed. In September 2021, R. ferrugineus was found in sugarcane fields (11.85 hm2) in Liucheng County, in Liuzhou City, but the percentage of plant damaged was sporadic and didn’t exceed 1%. The mean percent of damaged stalks and the length of damaged tunnels in plants recorded were 0.76%, and 19.54 cm, respectively when the canes were harvested. This discovery allowed us to prevent potential establishment and spread of the red palm weevil in the sugarcane regions in China, as well as serve a warning notice for other sugarcane regions worldwide.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.401
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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