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Record W4386422515 · doi:10.29169/1927-5951.2023.13.04

Acid Suppressant Activity of Feed Dietary Supplements for Dogs

2023· article· en· W4386422515 on OpenAlexvenueno aff
Natascia Bruni, Elisa Martello, Valeria Gabriele, Francesca Perondi

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsnot available
Fundersnot available
KeywordsAntacidNatural productChemistryGastritisFood scienceIn vitroPharmacologyMedicineBiochemistryStomach

Abstract

fetched live from OpenAlex

Gastritis is a common finding in pets and acid suppression plays an important role in its management. Acid suppression is the most important component in the treatment of gastritis and prevention of its complications. There are many drugs commonly used in veterinary medicine but the use of natural feed supplements is increasing. The aim of this in vitro study is the comparison of four supplements based on a combination of antacid salts and natural products at two pH conditions (pH 2 and 4.5) and at five time points. In addition, we wanted to confirm the formation of the gel during the test. All the products demonstrated acid suppression activity. In particular, product A showed the best performance. All the products except one (product B) formed gel after five minutes from the beginning of the experiment confirming their protective activity. Based on this preliminary results, the product A resulted to be the most promising antacid and potentially gastric protective product compared to others.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.091
GPT teacher head0.395
Teacher spread0.304 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pharmacy and Nutrition SciencesSame topicHelicobacter pylori-related gastroenterology studiesFrench-language works237,207