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Record W2544780549 · doi:10.1017/s1743921316003057

FM12: A Focus Meeting on Bridging Laboratory Astrophysics and Astronomy

2015· article· en· W2544780549 on OpenAlexfundno aff
Farid Salama, L. Mashonkina, Steve Federman

Bibliographic record

VenueProceedings of the International Astronomical Union · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistory and Developments in Astronomy
Canadian institutionsnot available
FundersObservatoire de Paris, Université de Recherche Paris Sciences et LettresUniversidade de São PauloAmes Research CenterPeking UniversityQueen's UniversityNational Aeronautics and Space Administration
KeywordsNuclear astrophysicsAstronomyPhysicsHigh-energy astronomyAstrophysicsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Laboratory astrophysics is the Rosetta stone that enables astronomers to understand and interpret the cosmos. The IAU Commission 14, the predecessor of the new IAU Laboratory Astrophysics Commission C. B5 and the AAS Laboratory Astrophysics Division (LAD) decided to coordinate their efforts this summer to hold a joint meeting at the IAU General Assembly.

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)0.025
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.008
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0070.003
Scholarly communication0.0100.005
Open science0.0040.008
Research integrity0.0130.014
Insufficient payload (model declined to judge)0.0440.020

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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