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Record W2081905870 · doi:10.1038/oby.2007.609

Time to Move On

2007· article· en· W2081905870 on OpenAlexaboutno aff
Claude Bouchard

Bibliographic record

VenueObesity · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsCitationLibrary sciencePublishingResource (disambiguation)ObesityWorld Wide WebGerontologyMedicinePolitical scienceComputer scienceLawPathology

Abstract

fetched live from OpenAlex

In 1996, we began publishing in Obesity Research a review of the status of the human obesity gene map (1). Since then, 10 updates of the map have been published, the latest in 2006 covering the literature available as of the end of October 2005 (2). In 1999, an electronic version of the map was made available on the website of the Donald B. Brown Chair on Obesity at Université Laval in Quebec City, Canada. Later, in 2002, the web-based version of the map was migrated to the Human Genomics Laboratory web site at the Pennington Biomedical Research Center in Baton Rouge, LA, where I had moved. While the print version of the map continued to be a factual summary of the material published at a particular point in time, the web-based version (Obesity Gene Map Database or OGMDB) was enriched considerably and provided extensive linkages to other relevant resources. The printed version in Obesity (previously, Obesity Research) was well received by the scientific community, as evidenced by its relatively high rate of citation over the last 10 years (∼750 citations by the end of 2006). Similarly, the OGMDB resource enjoyed ∼15,000 hits per month in the last few years, with thousands of regular visitors. Interestingly, the most assiduous users were from the pharmaceutical industry and from biotechnology companies. Developing the yearly update of the map became progressively a major burden. For instance, the last rendition published in Obesity in 2006 reached a total of 116 journal pages. It had become an effort of a magnitude that could not be sustained without the addition of human resources dedicated solely to the project. Despite our best efforts, funds could not be raised in a timely fashion to make it possible for us to continue publishing these yearly updates. Fortunately, a joint effort by the National Institute on Aging at NIH and the Centers for Disease Control and Prevention will compensate in part for the termination of the human obesity gene map publication project and OGMDB. Indeed, these two entities have launched and are maintaining a database of human genetic association studies. The database can be accessed at http:geneticassociationdb.nih.gov. Obesity is not the main focus of the database, but it is included, along with many other diseases and conditions. While the human obesity gene map covered much more than association studies (i.e., Mendelian syndromes, human and animal model single gene defects, genomic scans performed in human cohorts and in animal models, transgenic and knockout murine data, etc.), the new NIH-CDC database focuses on one of the most critical lines of evidence to consider in assessing the role of gene polymorphisms. So it seems like a good time to move on. The field should continue to be well served by the new resource. The map project was made possible through the dedication and hard work of several colleagues at Université Laval and at the Pennington Biomedical Research Center. Even though I will not be able to thank them all here, I would like to express my gratitude to the very early collaborators, Drs. Louis Perusse and Yvon C. Chagnon, as well as John Weisnagel and Tuomo Rankinen, who joined the team soon thereafter. Thanks are also due to Drs. Eric E. Snyder, George Argyropoulos, and Aamir Zuberi, who brought additional expertise to the team in the later years. We were well supported by Diane Drolet in the early phase at Université Laval and, subsequently, by Brandon M. Walts and Nina Laidlaw at the Pennington Biomedical Research Center. I am also grateful for the contribution of the Donald B. Brown Chair on Obesity in the first few years of the project and of several units of the Pennington Biomedical Research Center in more recent times. Finally, I would like to thank the Editors of Obesity (Drs. Xavier Pi-Sunyer and, later, Barbara Corkey) and the Managing Editor, Deborah K. Moskowitz, for their encouragement and strong support for the publication of the annual update of the human obesity gene map over the last 10 years.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.945

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)0.0000.001

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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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 designBench or experimental
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

Citations2
Published2007
Admission routes1
Has abstractyes

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