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Record W6964606777 · doi:10.25919/5c36d96552f31

Parkes observations for project P875 semester 2014OCTS

2014· dataset· en· W6964606777 on OpenAlexaboutno aff

Bibliographic record

VenueCSIRO · 2014
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPulsarEphemerisPopulationObservatoryFlux (metallurgy)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

In this proposal we aim to measure the flux densities of about 500 pulsars in a systematic way. Doing this we will vastly improve upon the current spectral knowledge of the pulsar population and provide around 1000 new measurements at 732 and 3100 MHz for about a quarter of the currently known pulsars. This is extremely important both for pulsar population studies, in particular for determining the spectral index of the radio emission, investigations of the pulsar emission mechanism and for optimizing observing strategies for next generation telescopes, such as the SKA. This proposal also acts as preparatory work for the Molonglo Observatory Synthesis Telescope, which we are refurbishing at the moment. This work will help us constrain the flux density expected at the centre frequency of Molonglo, at 843 MHz. We will also use the new data from Parkes to check and update the ephemerides of all the selected pulsars in order to have a database that is as up to date as possible before observations with Molonglo commence. We will also investigate the averaged pulse profiles and how they change with frequency.

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)0.004
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: Dataset
Teacher disagreement score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0410.051

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 head0.085
GPT teacher head0.254
Teacher spread0.169 · 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
Published2014
Admission routes1
Has abstractyes

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Same venueCSIROSame topicForest Ecology and Biodiversity StudiesFrench-language works237,207