MétaCan
Menu
Back to cohort
Record W2173250873 · doi:10.1603/0022-0493-98.4.1413

Movement of <I>Tribolium castaneum</I> (Coleoptera: Tenebrionidae) Adults in Response to Temperature Gradients in Vertical and Horizontal Wheat and Corn Columns

2005· article· en· W2173250873 on OpenAlexafffund
Fuji Jian, Digvir S. Jayas, N. D. G. White

Bibliographic record

VenueJournal of Economic Entomology · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsBiologyPoaceaeTemperature gradientAgronomyZea maysInsectPEST analysisAnimal scienceBotany

Abstract

fetched live from OpenAlex

The movement and redistribution of adult Tribolium castaneum (Herbst) in stored grain provide important information for detection of insect pests and for simulations of their distribution in grain bins. Movement and redistribution of T. castaneum adults in 1 or 6 d and in wheat or corn were determined in a 100 by 100 by 1000-mm acrylic box with a 10 degrees C/m temperature gradient (from 20 to 30 degrees C) or at a uniform temperature (20, 25, and 30 degrees C). In a vertical corn column with a uniform temperature, approximately 15 and 25% of adults moved to the top or bottom section in 6 d, respectively; and < 30% of adults were recovered in 1-d movement in the middle two sections where insects were initially introduced. In a horizontal or vertical wheat column, > 90% of the adults were recovered in the two middle sections where insects were introduced after 6 d. Adults responded to the temperature gradient and preferred the warmer areas in both wheat and corn. The slower movement in wheat is probably caused by the small granular space in bulk wheat than in bulk corn.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Economic EntomologySame topicInsect Pest Control StrategiesFrench-language works237,207