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Record W3033337575 · doi:10.21615/cesmvz.15.1.5

Cistotomía asistida por laparoscopia en un caballo de Paso Fino con cálculo vesical

2020· article· es· W3033337575 on OpenAlexaff
Juan Felipe Ossa Bernal, Diego Duque Betancurt, Renso Sneider Gallego Rodríguez, Camilo Jaramillo Morales

Bibliographic record

VenueCES Medicina Veterinaria y Zootecnia · 2020
Typearticle
Languagees
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineHumanitiesGynecologyArt

Abstract

fetched live from OpenAlex

La urolitiasis es la presencia de concreciones minerales de los cristales de orina en las vías urinarias. En los equinos esta patología tiene una prevalencia baja (0,4% a 0,5%), su presentación se da en riñones y vejiga generalmente, siendo ésta última el sitio de mayor frecuencia. Los urolitos más reportados en caballos se encuentran compuestos por carbonato de calcio. El diagnóstico se realiza comúnmente relacionando los hallazgos del examen clínico junto con la ecografía. Para el tratamiento se realiza abordaje quirúrgico. Un equino macho castrado, criollo colombiano, de doce años y un peso de 350 kg fue remitido para interconsulta por la presentación histórica de dos meses de pigmenturia y disuria, a la palpación transrectal se encontró una estructura redonda y compacta de aproximadamente 7 cm de diámetro ubicada en la vejiga, lo cual fue confirmado mediante ecografía vesical y cistoscopia, a su vez, se realizó citología del sedimento urinario. El abordaje terapéutico se hizo mediante manejo médico y quirúrgico por la técnica de cistotomía asistida por laparoscopia. El objetivo de este artículo es describir el primer reporte de caso de un urolito y de una cistotomía asistida por laparoscopia en un Caballo Criollo Colombiano.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.043
GPT teacher head0.305
Teacher spread0.263 · 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 designCase report
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
Published2020
Admission routes1
Has abstractyes

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