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Record W6986304992

Payload Operations Center (POC) for the International Space Station (ISS)

2000· other· en· W6986304992 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2000
Typeother
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsnot available
Fundersnot available
KeywordsPayload (computing)International Space StationCrewResearch centerVariety (cybernetics)Space researchMission control centerPoint (geometry)
DOInot available

Abstract

fetched live from OpenAlex

The International Space Station (ISS) Payload Operations Center (POC) at NASA's Marshall Space Flight Center (MSFC) in Huntsville, Alabama, is the world's primary science command post for the (ISS), the most ambitious space research facility in human history. The Payload Operations team is responsible for managing all science research experiments aboard the Station. The center is also home for coordination of the mission-plarning work of variety of international sources, all science payload deliveries and retrieval, and payload training and safety programs for the Station crew and all ground personnel. Within the POC, critical payload information from the ISS is displayed on a dedicated workstation, reading both S-band (low data rate) and Ku-band (high data rate) signals from a variety of experiments and procedures operated by the ISS crew and their colleagues on Earth. The POC is the focal point for incorporating research and experiment requirements from all international partners into an integrated ISS payload mission plan. This photograph is an overall view of the MSFC Payload Operations Center displaying the flags of the countries participating in the ISS. The flags at the left portray The United States, Canada, France, Switzerland, Netherlands, Japan, Brazil, and Sweden. The flags at the right portray The Russian Federation, Italy, Germany, Belgium, Spain, United Kingdom, Denmark, and Norway.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.304
Threshold uncertainty score0.996

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)0.3090.005

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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
Published2000
Admission routes1
Has abstractyes

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