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Record W2058505535 · doi:10.1088/0004-637x/775/2/95

A KINEMATIC DISTANCE STUDY OF THE PLANETARY NEBULAE-SUPERNOVA REMNANT-H II REGION COMPLEX AT G35.6–0.5

2013· article· en· W2058505535 on OpenAlexaff

Bibliographic record

VenueThe Astrophysical Journal · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSupernova remnantPlanetary nebulaMolecular cloudSpectral lineKinematicsSupernovaH II region

Abstract

fetched live from OpenAlex

Two possible planetary nebulae (PN G035.5−00.4 and IRAS 18551+0159), one newly re-identified supernova remnant (SNR G35.6−0.4), and one H ii region (G35.6−0.5) form a line-of-sight-overlapping complex known as G35.6−0.5. We analyze 21 cm H i absorption spectra toward the complex to constrain the kinematic distances of these objects. PN G035.5−00.4 has a distance from 3.8 ± 0.4 kpc to 5.4 ± 0.7 kpc. IRAS 18551+0159 is at 4.3 ± 0.5 kpc. We discuss the distance for SNR 35.6−0.4, for which the previous estimate was 10.5 kpc, and find a plausible distance of 3.6 ± 0.4 kpc. The new distance of SNR G35.6−0.4 and the derived mass for the ∼55 km s −1 CO molecular cloud can accommodate an association with HESS J1858+020. We also conclude that SNR G35.6−0.4 is unlikely to be associated with PSR J1857+0210 or PSR J1857+0212, which are projected onto the SNR area.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.227
Teacher spread0.207 · 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

Citations18
Published2013
Admission routes1
Has abstractyes

Explore more

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