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Record W2995236109 · doi:10.35691/jbm.9102.0102

COMPARATIVE MITO-GENOMIC ANALYSIS OF DIFFERENT SPECIES OF GENUS CANIS BY USING DIFFERENT BIOINFORMATICS TOOLS

2019· article· en· W2995236109 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Bioresource Management · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsNutrasource
Fundersnot available
KeywordsGenusBiologyComputational biologyEvolutionary biologyCanisBioinformaticsZoologyEcology

Abstract

fetched live from OpenAlex

In the current study, the mitochondrial gene sequences for COI, Cyt b and 16s rRNA of seven species found in different parts of the world were retrieved from NCBI Gene Bank. While, PCR products of COI, Cyt b and 16s rRNA genes obtained from C. lupus and C. aureus present in Pakistan were sequenced and aligned for comparison. The phylogenetic analysis of mitochondrial COI, Cyt b and 16s rRNA genes showed almost the same results for the extant species of genus Canis. 16s rRNA revealed C. latrans, C. lycaon and C. simensis showed close phylogenetic relation with each other. While, COI and Cyt b showed wider genetic distance. Cyt b and 16s rRNA analysis indicated C. mesomelas and C. adustus as sister taxa, while COI also proved the same phylogenetic association. COI and 16s rRNA revealed the least genetic distance between C. aureus and C. lycaon while Cyt b showed more genetic distance. COI, 16s rRNA analysis determined close phylogenetic relations between C. lupus and C. lycaon while Cyt b

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.238
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