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Record W2005166857 · doi:10.4171/owr/2007/23

Poisson Geometry and Applications

2008· article· en· W2005166857 on OpenAlexaffabout
Anton Alekseev, Rui Loja Fernandes, Eckhard Meinrenken, Markus J. Pflaum

Bibliographic record

VenueOberwolfach Reports · 2008
Typearticle
Languageen
FieldMathematics
TopicMathematics and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeometryPoisson distributionMathematicsComputer scienceStatistics

Abstract

fetched live from OpenAlex

The half-size workshop was organized by Anton Alekseev (Geneve), Rui Loja Fernandes (Lisboa), Eckhard Meinrenken (Toronto) and Markus Pflaum (Frankfurt). Marius Crainic (Utrecht) also acted as an unofficial organizer. The programme consisted of 17 lectures and covered a range of areas in Poisson Geometry and its applications where significant progress has been achieved recently. The aim of the workshop was to emphasize the main themes in Poisson Geometry that play the role of driving forces and organizing principles of the field. A significant number of young researchers, who have made already important contributions to the field, participated in this meeting. During the workshop all participants were involved in a great number of informal discussions, some of which gave rise to new collaborations. In total, 27 researchers have participated in this meeting from institutions in 9 different countries in Europe, USA and Canada, including 4 researchers from German institutions. The organizers and participants thank the Mathematisches Forschungsinstitut Oberwolfach for providing a truly inspiring atmosphere for this conference. In the following we include the abstracts in alphabetical order.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.303
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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 routes2
Has abstractyes

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