MétaCan
Menu
Back to cohort

State‐dependent attacks in a mosquito

2009· article· en· W2117309465 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

VenuePhysiological Entomology · 2009
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBiologyState (computer science)ZoologyEcologyEvolutionary biologyComputer science

Abstract

fetched live from OpenAlex

Mosquito biting frequency and meal size are considered to be important parameters in the epidemiology of insect‐vectored diseases such as malaria. Because both parameters are likely to depend on the size and energetic state of adult mosquitoes, the present study investigates the effects of body size and energy state on attack behaviours in the malaria mosquito, Anopheles gambiae . Attack rates are measured as well as total time spent before giving up for individual females when provided with an unobtainable human hand (i.e. mosquitoes are dislodged every time that they land). The factorial design considers two body sizes, small and large, as well as three sugar deprivation states, 0, 1 and 2 days. The results reveal a positive effect of size on attack rate and a nonlinear effect of energy state, where mosquitoes of intermediate energy state show lower attack rates than either 2‐day food‐deprived or nondeprived mosquitoes. Moreover, attack rate is negatively associated with persistence time in nondeprived and 2‐day food‐deprived Anopheles but is unrelated to persistence time in 1‐day food‐deprived mosquitoes, Interestingly, although persistence times are generally inversely related to attack rates, they are not significantly influenced by either energetic or size states.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

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 head0.023
GPT teacher head0.318
Teacher spread0.296 · 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