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Record W4312217031 · doi:10.29169/1927-5951.2022.12.08

In Vitro Phosphate Binding Capacity of a Dietary Supplement for Dogs and Cats

2022· article· en· W4312217031 on OpenAlexvenueno aff
Natascia Bruni, Elisa Martello, Raffaella Adami, Giorgia Meineri, Francesca Perondi, Annalisa Costale, Elena Rosso, Ilaria Lippi

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHyperphosphatemiaCATSPhosphateChitosanIn vitroChemistryCalciumKidney diseaseMedicineFood scienceInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Hyperphosphatemia has been recognized as a serious and frequent complication in dogs and cats with Chronic Kidney Disease (CKD). The veterinary approach is mainly based on reducing phosphorus in the diet and with phosphate (P) binders. In this in vitro study we compared seven supplements with a different combination of ingredients for dogs and cats at pH 3 and 7 to estimate the P binding capacity overtime. Our results confirmed the best binding capacity of supplements at acid compared to basic condition. The P binding capacity of two products containing mainly calcium carbonate, calcium lactate-gluconate and chitosan was higher compared to the other tested at the same conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.000

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 head0.081
GPT teacher head0.381
Teacher spread0.300 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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