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Record W3082129262

Vertebral heart scale: A diagnostic tool for cardiomegaly in dogs

2018· article· en· W3082129262 on OpenAlexaboutno aff
Arun Mourya, HK Mehta, Rekha Mourya, DK Gupta, Amita Tiwari, Brejesh Singh, PC Shukla

Bibliographic record

VenueJournal of Pharmacognosy and Phytochemistry · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiological weaponPhysical examinationThoracic cavityClinical historyCardiologyNuclear medicineRadiologyInternal medicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

Dogs admitted to Teaching Veterinary Clinical Complex (T.V.C.C), College of Veterinary Science and A.H, MHOW, (M.P), with a history of persistent dry coughing, increases on exercise and were not responding to therapy. On clinical examination there were no changes observed in clinical signs. The radiological examination of the thoracic cavity was performed to observe the size and shape heart in the dogs. Vertebral heart scale (V.H.S) method was used for the measurement of heart size. Out of nine dogs used for study two dogs Labrador and Mongrel considered as cardiomegaly. The sizes of the hearts were 13 v and 12 v respectively as compare to normal V.H.S 9.7 v (8.5 – 10.5 v). On radiological examination pressing of trachea by enlarge heart was clearly visible.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.303
Teacher spread0.294 · 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
Published2018
Admission routes1
Has abstractyes

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