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Record W7100613866

Diacu (Canada) and Donald Saari (USA). In alphabetical order, they were:

2008· article· en· W7100613866 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Dynamics and Control
Canadian institutionsnot available
Fundersnot available
KeywordsKeplerOrbit (dynamics)Stability (learning theory)Symbolic dynamicsElliptic orbitScheduleDynamics (music)Kepler problem
DOInot available

Abstract

fetched live from OpenAlex

1 The programme of the workshop consisted of 45-minute talks followed by 15 minutes of discussions. Often those discussions have been continued in the evening in smaller groups. The schedule was planned by the two organizers as follows: Sunday, April 18 8:30-9:15, Alain Chenciner: Rotating eights 9:30-10:15, Ernesto A. Lacomba: Symbolic dynamics in the rectilinear 3-body problem 11:00-11:45, Montserrat Corbera: Global existence of subharmonic orbits in the Sitnikov Problem 14:30-15:15, Richard Montgomery: Fitting hyperbolic pants to a 3-body problem 16:00-16:45, Dan Offin: Variational-stability method for some n-body problems Monday, April 19 8:30-9:15, Ernesto Perez-Chavela: Symmetrical central configurations in the 4-body problem 9:30-10:15, Ken Meyer: Elliptic central configuration solutions of the n-body problem 11:00-11:45, Patricia Yanguas: Dynamics of charged particles in planetary magnetospheres 14:30-15:15, Alain Albouy: New hidden symmetries in the Kepler problem and Lambert’s theorem 16:00-16:45, Gareth Roberts: Linear stability analysis of the figure-eight orbit

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.636
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.3640.177

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 head0.004
GPT teacher head0.162
Teacher spread0.158 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

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