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Record W2973225087 · doi:10.34257/gjmrgvol19is2pg33

Caracterizacion De Pacientes Caninos De Raza Pura Con Diagnostico De Enfermedad Metabolica Atendidos En El Hospital Veterinario De La Universidad De San Carlos De Guatemala

2019· article· es· W2973225087 on OpenAlexaboutno aff
López-Rivera Sofía Isabel, Laparra-Galindo Julia Patricia, Chávez–López Juan José, Villatoro-Chacón Daniela Mariel

Bibliographic record

VenueGlobal Journal of Medical Research · 2019
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Los perros de raza pura han brindado información sobre la morfología, el comportamiento y las enfermedades caninas siendo la diversificación de las mismas lo que ha llevado al desarrollo de enfermedades metabólicas, las cuales son causadas por anormalidades en sistemas enzimáticos. El presente estudio fue realizado en el Hospital Veterinario de la Facultad de Medicina Veterinaria y Zootecnia de la Universidad de San Carlos de Guatemala en el cual se evaluaron 406 fichas clínicas de pacientes caninos de razapura de las cuales 48 eran correspondientes con un diagnóstico definitivo de enfermedad metabólica. De los pacientes evaluados, las cuatro razas de mayor presencia fue el Labrador Retriever 17%, Husky Siberiano13%, French Poodle10% y Schnauzer 8%.

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 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)0.013
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
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 head0.013
GPT teacher head0.396
Teacher spread0.383 · 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 teacher head, not a consensus.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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