MétaCan
Menu
Back to cohort
Record W6958630599 · doi:10.6084/m9.figshare.48009

Segregation of compared with the segregation of the white spotting phenotype

2011· other· en· W6958630599 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2011
Typeother
Languageen
FieldMaterials Science
TopicCopper-based nanomaterials and applications
Canadian institutionsnot available
Fundersnot available
KeywordsDNASpottingWhite (mutation)Locus (genetics)Restriction fragment length polymorphismgenomic DNAGenotypeRestriction fragment

Abstract

fetched live from OpenAlex

Copyright information:Taken from "Exclusion of and as the basis for white spotting in Border Collies"Genome Biology 2000;1(2):research0004.1-research0004.4.Published online 28 Jul 2000PMCID:PMC15016.Copyright © 2000 GenomeBiology.com Genomic DNA digested with II was probed with a radioactively labeled fragment of DNA which detected a II restriction fragment length polymorphism (RFLP) between the Border Collie and Newfoundland grandparents. BC, DNA from the Border Collie grandparent; N, DNA from the Newfoundland grandparent. F1, DNA from the first generation hybrids of the Newfoundland × Border Collie cross; F2, DNA from the progeny of intercrosses between the F1 hybrids; s, white spotted; ns, not white spotted. The presumed genotypes for the locus are shown below the lanes.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0360.004

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 head0.029
GPT teacher head0.227
Teacher spread0.198 · 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicCopper-based nanomaterials and applicationsFrench-language works237,207