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Record W2037906925 · doi:10.1029/2011eo080001

Space Science Informatics: A Canadian Approach

2011· article· en· W2037906925 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEos · 2011
Typearticle
Languageen
FieldEngineering
TopicSpace Exploration and Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWorkflowSpace (punctuation)Computer scienceData scienceInformaticsSpace Sciencee-ScienceRange (aeronautics)Volume (thermodynamics)Data accessWorld Wide WebDatabaseEngineering

Abstract

fetched live from OpenAlex

The rapidly increasing volume of space science data is leading to a growing need for tools for scientists to access, analyze, and share data. To address this need, the Canadian Space Science Data Portal (CSSDP) provides space scientists with access to a wide range of space data, observations, and investigative tools. CSSDP serves as a one‐stop shop for scientists to discover, gather, and visualize relevant data. The data portal has embedded analysis tools and workflows to simplify common research tasks, along with a rich collaboration framework to develop and share scientific findings (see Figure 1). The data portal is accessible at http://www.cssdp.ca .

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.382

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)0.0000.000

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 head0.020
GPT teacher head0.178
Teacher spread0.158 · 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