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Record W7042277754

Organization and Processes for the Consultative Committee for Space Data Systems . Yellow Book. Issue 3. July 2011 - CCSDS A02.1-Y-3-S

2011· article· en· W7042277754 on OpenAlexfundno aff

Bibliographic record

VenueBiblioteca Digital da Memória Científica do INPE (National Institute for Space Research) · 2011
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsnot available
FundersNuclear PhysicsNational Institute of Information and Communications TechnologyJapan Aerospace Exploration AgencyCanadian Space AgencyCenter for Long-Term Cybersecurity, University of California BerkeleyGeo-Informatics and Space Technology Development AgencyIran Telecommunication Research CenterEuropean Space AgencyAgenzia Spaziale ItalianaEuropean Organization for the Exploitation of Meteorological SatellitesKorea Aerospace Research InstituteNational Commission for Science and TechnologyTürkiye Bilimsel ve Teknolojik Araştırma KurumuNational Oceanic and Atmospheric AdministrationNational Space OrganizationChina National Space AdministrationBelgian Federal Science Policy OfficeChinese Academy of SciencesU.S. Geological SurveyIndian Space Research OrganisationCentre National d’Etudes SpatialesCommonwealth Scientific and Industrial Research OrganisationNational Aeronautics and Space Administration
KeywordsData systemSpace (punctuation)Information systemProcess (computing)Reference dataData processing
DOInot available

Abstract

fetched live from OpenAlex

This CCSDS Record merges Restructured Organization and Processes for the CCSDS (CCSDS A02.1-Y-2) and Procedures Manual for the Consultative Committee for Space Data Systems (CCSDS A00.0-Y-9) and updates the result to reflect the current CCSDS organization and its processes.

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)0.014
metaresearch head score (Gemma)0.048
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.418
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.048
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0120.014
Science and technology studies0.0060.002
Scholarly communication0.0180.007
Open science0.0040.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.4180.592

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 head0.126
GPT teacher head0.319
Teacher spread0.193 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueBiblioteca Digital da Memória Científica do INPE (National Institute for Space Research)Same topicMicrostructure and Mechanical Properties of SteelsFrench-language works237,207