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Record W2236424855 · doi:10.4271/2001-01-2233

Insect Habitat Hardware

2001· article· en· W2236424855 on OpenAlexfundaboutno aff
Julie E. Bourdeau, Louis Piché

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
FundersCanadian Space Agency
KeywordsComputer scienceHabitatEmbedded systemComputer hardwareEcologyBiology

Abstract

fetched live from OpenAlex

The International Space Station’s (ISS) Gravitational Biology Facility includes facilities to support cell cultures, rodents, plants, aquatic species, eggs and insects. The Insect Habitat (IHAB) is being provided by the Canadian Space Agency to support the Gravitational Biology Facility. The IHAB will initially support the fruitfly, Drosophila melangaster, but is also designed to hold a variety of other insect species. IHAB’s hardware consists of three elements: the Science Element (SE), the Transport Element (TE), and the Container Element (CE). One of the SE’s unique features is its capability to provide two independent levels of simulated gravity from the ISS ambient gravity level to 2g. Therefore, the IHAB allows for an in space control group, while the other group is exposed to micro-gravity (or any other allowable gravity level). The biological environment also includes control for illumination, video, temperature and relative humidity. The TE is responsible for the specimen’s life support during the transport of the specimens between the ground and ISS. The TE controls the same environmental parameters as the SE, minus the video and the gravitational simulation. The CE is responsible for the specimen containment and providing the food to the insects.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.317
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3170.128

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 head0.228
Teacher spread0.216 · 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.

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

Citations1
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueSAE technical papers on CD-ROM/SAE technical paper series→Same topicForest Insect Ecology and Management→French-language works237,207→