MétaCan
Menu
Back to cohort
Record W6921008861 · doi:10.6084/m9.figshare.16435.v1

Haplotype structure of the gene locus in Europeans

2011· other· en· W6921008861 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2011
Typeother
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsInternational HapMap ProjectHaplotypeLinkage disequilibriumSingle-nucleotide polymorphismLocus (genetics)Tag SNPAllelePopulationHaplotype estimation

Abstract

fetched live from OpenAlex

Copyright information:Taken from "Deafblindness in French Canadians from Quebec: a predominant founder mutation in the gene provides the first genetic link with the Acadian population"Genome Biology 2007;8(4):R47-R47.Published online 3 Apr 2007PMCID:PMC1895989. Structure of the gene with relative positions of mutations identified in this study and SNPs typed by the HapMap project [30]. Rate (D') of linkage disequilibrium (LD; visualized by haploview program) is represented by different colors (highest rate of LD in dark red and lower LD in light red/white). The marked block defines potential haplotypes between selected SNPs. Note that the orientation of the graphic is opposite to Figure 1b and that SNP alleles are given in reverse complement. Potential haplotypes in the European population (CEU) for four selected SNPs that have been genotyped in our study. F: putative frequency of these haplotypes in CEU as determined in the HapMap project. The 'Acadian allele', c.216G>A, and p.R155X are both located on the most prevalent haplotype predicted to account for 50% of haplotypes. c.238-239insC, c.496+1G>T and c.748_759+5del are located on the second most common haplotype.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.001

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 head0.024
GPT teacher head0.233
Teacher spread0.210 · 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
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicInflammatory Biomarkers in Disease PrognosisFrench-language works237,207