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Record W419104436 · doi:10.26077/y6dv-dc64

Microsats for Environmental Monitoring - and Some Current Canadian Initiatives

2025· article· en· W419104436 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDigital Commons - USU (Utah State University) · 2025
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsCOM DEV International
FundersCanadian Space AgencyYork UniversityUniversity of Ottawa
KeywordsCurrent (fluid)Environmental planningEnvironmental resource managementEnvironmental scienceBusinessEngineering

Abstract

fetched live from OpenAlex

This paper examines the usefulness of microsats for environmental monitoring. It is based in part on a study done by Routes Incorporated for the Canadian Space Agency in 1995, plus more recent information. We define microsats and their instruments as missions whose overall payload, platform, launch, ground segment and operations costs is within a $2M to $ 10M range. The paper describes several types of environmental atmospheric and earth surface monitoring task that could be achieved with microsats, e.g. observation of atmospheric phenomena such as polar stratospheric clouds, gravity waves and ozone profiles. Compact, simple, low-cost imaging spectrographs are candidates for earth surface monitoring. Currently, the Canadian Space Agency and other agencies have funded a number of preliminary design/assessment studies that will lead toward microsat environmental missions. The paper concludes by briefly describing these projects.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.650

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 communication0.0000.001
Open science0.0000.000
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 head0.013
GPT teacher head0.193
Teacher spread0.179 · 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