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Record W2052730689 · doi:10.3109/19401736.2013.840601

The complete mitochondrial genome sequence of the Canada goose (<i>Branta canadensis</i>)

2013· article· en· W2052730689 on OpenAlexaboutno aff
Joshua C. Snyder, Craig Andrew Mackaness, Megan R. Sopher, Jonathan Huber, Edward J. Disantis, Andrew J. Senecal, Byron P. Vaughn, Robert S. Desantis, Page E. Tobelmann, Natalie M. Hecht Balauff, Patrick M. Barry, Matthew D. Show, Leann Speering, Christina A. Genareo, Frederic J. Brenner, Durwood B. Ray

Bibliographic record

VenueMitochondrial DNA · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMitochondrial DNABiologyGeneticsStart codonGooseGeneBrantaStop codonGenomeGenBankEcologyBase sequence

Abstract

fetched live from OpenAlex

The Canada goose (Branta canadensis) entire mitochondrial genome of a bird from Western Pennsylvania has 16,760 bp (GenBank accession number NC 007011) and has been analyzed for gene locations, length, start codon and stop codons. This genome from a bird harvested during the non-migratory season is the REFSEQ and the haplotype is designated GCC-A. There are two rRNAs, 22 tRNAs, 13 protein-coding regions, and 1 displacement loop region. The base composition of mtDNA was A (30.2%), G (15.1%), C (32.1%), and T (22.6%), so the percentage of A and T (52.8%) was slightly higher than G and C. All genes except ND6 and eight tRNA genes (Gln, Ala, Asn, Cys, Tyr, Ser, Pro and Glu) are encoded on the heavy strand. The gene arrangement is the same as most birds and differs from mammals by an inversion of the mtDNA at the connection between the D-loop and the ND5 junctions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.253
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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 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

Citations9
Published2013
Admission routes1
Has abstractyes

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