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Record W4393541660 · doi:10.5281/zenodo.7016531

HiPERCAM/ULTRACAM observations of PSR J2051-0827

2022· dataset· en· W4393541660 on OpenAlexaff
V. S. Dhillon, Mark Kennedy, R. P. Breton, C. J. Clark, D. Mata Sánchez, Guillaume Voisin, E. Breedt, Alex Brown, M. Dyer, Matthew Green, P. Kerry, S. P. Littlefair, T. R. Marsh, S. G. Parsons, Ingrid Pelisoli, D. I. Sahman, J. F. Wild, M. H. van Kerkwijk, B. W. Stappers

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsUniversity of Toronto
FundersSeventh Framework ProgrammeHorizon 2020 Framework ProgrammeResearch Councils UK
KeywordsGeologyPhysics

Abstract

fetched live from OpenAlex

Optical observations of PSR J2051-0827 taken by the high-speed triple-beam CCD camera ULTRACAM on the William Herschel Telescope, and by the high-speed quintuple-beam CCD camera HiPERCAM on the Gran Telescopio Canarias. As presented in Dhillon et al. 2022 (MNRAS, in press, https://arxiv.org/abs/2208.09249). The letter after the underscore in each file name represents the observing filter for that specific file. For the ULTRACAM data, the columns are: 1) orbital phase (in rotations, with phase = 0 corresponding to pulsar's ascending node), 2) flux density (in erg cm-2 s-1 Hz-1) 3) flux density uncertainty (in erg cm-2 s-1 Hz-1) For the HiPERCAM data, the columns are: 1) MJD time 2) orbital phase (in rotations, with phase = 0 corresponding to pulsar's ascending node), 3) flux density (in erg cm-2 s-1 Hz-1) 4) flux density uncertainty (in erg cm-2 s-1 Hz-1)

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.043
GPT teacher head0.300
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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