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Record W4206886443

A large-scale whole genome sequence-based analysis discovered novel genetic variants influencing bone mineral density: Results from the GEFOS and UK10K Consortia

2014· preprint· en· W4206886443 on OpenAlexaff
Hou‐Feng Zheng, Vincenzo Forgetta, Yi‐Hsiang Hsu, Karol Estrada, Paul Leo, Jonathan H. Tobias, Charles Kooperberg, Ching‐Ti Liu, Alberto Roselló‐Díez, Daniel S. Evans, Carrie M. Nielson, Urika Petterson-Kymmer, Joel Eriksson, Tony Kwan, Klaudia Walter, Yasin Memari, Shane Mc Carthy, Josine L. Min, Jie Huang, Petr Danecek, Beth Wilmot, Rui Li, Wen‐Chi Chou, Lauren E. Mokry, Alireza Moayyeri, Melina Claussnitzer, Chia‐Ho Cheng, Warren Cheung, Carolina Medina‐Gómez, Bing Ge, Shu‐Huang Chen, Kwangbom Choi, Ling Oei, James A. Fraser, Robert Kraaij, Matthew Hibbs, Celia L. Gregson, Denis Paquette, Albert Hofman, Carl Wibom, Mhairi Marshall, Brooke Gardiner, Paul L. Auer, Li Hsu, Nathalie van der Velde, Beatrice Melin, John P. Kemp, Adrian Sayers, Yanhua Zhou, Sophie Caldérari, Matthew T. Maurano, Jeroen van Rooij, Chris Carlson, Ulrike Peters, Soizik Berlivet, Josée Dostie, Claes Ohlsson, André G. Uitterlinden, David Goltzman, Tomi Pastinen, Elin Grundberg, Dominique Gaugier, Eric Orwoll, David Karasik, Chitra Lekha Dahia, Nicholas J. Timpson, Nicole Soranzo, Richard Durbin, Scott G. Wilson, Matthew A. Brown, Tim D. Spector, L. Adrienne Cupples, Celia M.T. Greenwood, Cynthia A. Loomis, Cheryl L. Ackert‐Bicknell, Alexandra L. Joyner, Rebecca D. Jackson, Emma L. Duncan, David M. Evans, Fernando Rivadeneira, Douglas P. Kiel, Brent Richards

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2014
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsGenome CanadaMcGill University
Fundersnot available
KeywordsScale (ratio)Sequence (biology)GenomeWhole genome sequencingComputational biologyBone mineralComputer scienceGeneticsBiologyGeneGeographyCartographyOsteoporosis
DOInot available

Abstract

fetched live from OpenAlex

International audience

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.233
Teacher spread0.219 · 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 designObservational
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
Published2014
Admission routes1
Has abstractno

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