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Record W1565486756

Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers

2009· article· en· W1565486756 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGenetic and Evolutionary Computation Conference · 2009
Typearticle
Languageen
FieldComputer Science
TopicEvolutionary Algorithms and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary sciencePublishingComputer scienceEvolutionary computationTrack (disk drive)Operations researchPolitical scienceArtificial intelligenceLawMathematics
DOInot available

Abstract

fetched live from OpenAlex

These proceedings contain the papers presented at the 11th Annual Genetic and Evolutionary Computation Conference (GECCO-2009), held in Montreal, Canada, July 8-12, 2009. After 2007, when GECCO was held in London, UK, this is the second time GECCO has been held outside the U.S. The generally high number of submissions of previous events has been maintained: 531 papers have been submitted for review, which is an increase of about 18% when compared to last year. Of these 531 papers, 220 were accepted as eight-page publications and 25 minutes presentations at the conference, yielding an acceptance ratio of 41,4%. In addition, 137 submissions (25,8%) have been accepted for poster presentations with two-page abstracts included in the proceedings. Last year, GECCO successfully moved over to electronic proceedings, and we continued with this publishing strategy as it greatly facilitates the handling of all conference materials. GECCO has lived up to its motto of one conference, many mini-conferences. This year, there were 15 separate tracks that operated independently from each other. Each track had its own track chair(s) and individual program committee. A member of one track's program committee was not allowed to simultaneously be a member of another track's committee. To reduce any bias reviewers might have, all reviews were conducted double blind, no authors' names were included in the reviewed papers. About 600 researchers participated in the reviewing process. We want to thank them for all their work, which is highly appreciated and absolutely vital for the quality of the conference. Track chairs have been asked to not accept more than 50% of their submissions as full papers. An appropriate acceptance rate is important in order to preserve the quality of the conference. Even though we were not bound by strong physical or environmental limitations on the number of accepted papers, we strove to keep our acceptance rate at the lower end. The scientific quality of the conference as well as that of the proceedings also is ensured by principles laid down in the GECCO by-laws of SIGEVO: (i) The GECCO conference shall be a broad-based conference encompassing the whole field of genetic and evolutionary computation. (ii) Papers will be published and presented as part of the main conference proceedings only after being peer reviewed. No invited papers shall be published (except for those of up to three invited plenary speakers). (iii) The peer review process shall be conducted consistent with the principle of division of powers performed by a multiplicity of independent program committees, each with expertise in the area of the paper being reviewed. (iv) The determination of the policy for the peer review process for each of the conference's independent program committees and the reviewing of papers for each program committee shall be performed by persons who occupy their positions by virtue of meeting objective and explicitly stated qualifications based on their previous scientific research activity or applications activity. (v) Emerging areas within the field of genetic and evolutionary computation shall be actively encouraged and incorporated in the activities of the conference by providing a semi-automatic method for their inclusion into the activities of the conference (with some procedural flexibility being extended to such emerging new areas). (vi) The percentage of submitted papers that are accepted as regular papers (i.e., papers other than poster papers) shall not exceed 50%. In addition to the presentation of the papers contained in these proceedings, GECCO-2009 also included free tutorials, workshops, a series of sessions on Evolutionary Computation in Practice, various competitions, late-breaking papers, and a job shop.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.237
Teacher spread0.222 · 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