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Record W3015440710 · doi:10.1088/1538-3873/ab7ee8

An Algorithm for Coordinate Matching in World Coordinate Solutions

2020· article· en· W3015440710 on OpenAlexaff
J. Postma, D. A. Leahy

Bibliographic record

VenuePublications of the Astronomical Society of the Pacific · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCoordinate systemMatching (statistics)Computer scienceGeographic coordinate conversionAlgorithmCoordinate descentPoint (geometry)Coordinate spaceCode (set theory)Ellipsoidal coordinatesSimple (philosophy)Computer visionMathematicsGeometrySet (abstract data type)

Abstract

fetched live from OpenAlex

Algorithms for point source extraction and catalog-to-image coordinate matching for world coordinate solutions are presented. In particular the coordinate matching algorithm is lightweight, simple to understand, easy to code, and solves orders of magnitude more quickly than existing solutions to this common astrometric problem.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.030
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0040.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0300.022

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 head0.032
GPT teacher head0.226
Teacher spread0.195 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations26
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePublications of the Astronomical Society of the PacificSame topicGeophysics and Gravity MeasurementsFrench-language works237,207