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Record W4409376958 · doi:10.5376/ijmvr.2024.14.0011

The Human-Animal Bond and Its Influence on Surgical Recovery in Pets

2024· article· en· W4409376958 on OpenAlexvenueno aff
Wei Liu, Jia Xuan

Bibliographic record

VenueInternational Journal of Molecular Veterinary Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBondCompanion animalBusinessMedicineVeterinary medicineFinance

Abstract

fetched live from OpenAlex

This study explores the profound impact of the human-animal bond on the surgical recovery of pets. The study synthesizes findings from multiple studies, demonstrating that the presence of a caregiver significantly enhances postoperative outcomes in pets by reducing pain-related behaviors and promoting faster recovery. The human-animal bond is shown to play a crucial role in both the physical and emotional aspects of recovery, particularly when pets are allowed to recover in familiar environments with their owners. Unique insights from case studies further underscore the importance of this bond, revealing that pets with close human companionship exhibit lower stress levels and improved well-being during the recovery process. These findings highlight the need for veterinary practices to integrate the human-animal bond into postoperative care protocols to optimize recovery outcomes for pets.

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)0.001
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 score0.634
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.074
GPT teacher head0.485
Teacher spread0.411 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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