MétaCan
Menu
Back to cohort
Record W6964489212 · doi:10.25919/5c93cd99bea35

Parkes observations for project P995 semester 2018OCTS_21

2018· dataset· en· W6964489212 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.

Bibliographic record

VenueCSIRO · 2018
Typedataset
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsPulsarGlitchFlux (metallurgy)Pulse (music)Sensitivity (control systems)Neutron star

Abstract

fetched live from OpenAlex

We propose to perform observations of the very young pulsar PSR B0540–69 in the Large Magellanic Cloud to detect pulsed flux from this traditionally radio-quiet source. We are motivated to do so due to a relatively recent X-ray observation of a 36% change in its spin down rate, thought to be due to a state change in its magnetospheric processes. There is reason to believe this may be accompanied by an increase in pulsed flux, as has been seen in intermittent pulsar behaviour, for example. Additionally, PSR B0540–69 is known to emit giant pulses, one of only a small number of pulsars to do so. With the new Ultra Wideband Low-frequency (UWL) receiver system, we will be able to conduct the highest sensitivity observations of this source yet achieved at radio wavelengths. A successful detection of pulsed flux will provide important insight into the magnetospheric evolution and behaviour in this pulsar, and a better understanding of how its glitch behaviour may influence its emission. Even without such a detection, we will be able to study the giant pulse behaviour of PSR B0540–69 with unprecedented sensitivity.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.039
Threshold uncertainty score0.815

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 science0.0010.000
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 head0.058
GPT teacher head0.305
Teacher spread0.247 · 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