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Record W3045868981

The MILO Space Science Institute: Enabling New, Science-Focused Deep Space SmallSat Missions

2020· article· en· W3045868981 on OpenAlexaff
J. F. Bell, L. Papsidero, Timothy Linn, T. S. J. Gabriel, S. Smas, D. A. Thomas, Lon Levin, L. Champion, V. Reddy, David E. Trilling

Bibliographic record

VenueDigital Commons - USU (Utah State University) · 2020
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsSpace (punctuation)Space ScienceNASA Deep Space NetworkSpace explorationDeep space explorationSpace researchAstrobiologyComputer scienceEngineeringAerospace engineeringPhysicsSpacecraft
DOInot available

Abstract

fetched live from OpenAlex

•Initial activity: Design and development of inaugural mission concepts to achieve Decadal Survey-quality science relatively quickly to serve as a proof-of-concept for the MILO funding and management model •Inaugural mission costs significantly lower than those of NASA Discovery missions •Three inaugural small sat missions are being developed: two to explore Near-Earth Objects and one to explore the Moon •In discussions about MILO membership with more than 150 entities in 40 countries

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 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 score0.906
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
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 head0.021
GPT teacher head0.196
Teacher spread0.175 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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