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Record W7028709826

Galactic Worm 123.4-1.5: A Mushroom-shaped HI Cloud

2000· other· en· W7028709826 on OpenAlexaboutno aff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2000
Typeother
Languageen
FieldEnvironmental Science
TopicEcology, Conservation, and Geographical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGalactic planeTelescopeDominionAngular resolution (graph drawing)Plane (geometry)Resolution (logic)Cloud computingChimney (locomotive)
DOInot available

Abstract

fetched live from OpenAlex

The Dominion Radio Astrophysical Observatory's Synthesis Telescope providesthe highest resolution data (1 arcmin and 0.82 km/s) to date of an HI wormcandidate. Observed as part of the Canadian Galactic Plane Survey,mushroom-shaped GW 123.4-1.5 extends only a few hundred parsecs, contains ~10^5solar masses of neutral hydrogen, and appears unrelated to a conventional shellor chimney structure. Our preliminary Zeus-2d models use a single off-planeexplosion with a modest (~10^{51} ergs) energy input. These generic simulationsgenerate, interior to an expanding outer blast wave, a buoyant cloud whosestructure resembles the morphology of the observed feature. Unlike typicalmodel superbubbles, the stem can be narrow because its width is not governed bythe pressure behind the blast wave nor the disk scale height. Using this typeof approach it should be possible to more accurately model the thin stem andother details of GW 123.4-1.5 in the future.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.248
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2000
Admission routes1
Has abstractyes

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Same venueCERN Document Server (European Organization for Nuclear Research)Same topicEcology, Conservation, and Geographical StudiesFrench-language works237,207