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Record W2340865851 · doi:10.5539/mas.v10n3p149

Overall Evaluation of Produced Flavored Low Lactose Milk Powder for Lactose Intolerants

2016· article· en· W2340865851 on OpenAlexvenueno aff
SeyedehZeynab Hatami Takami, SeyedReza Hejazian, Esmaeil Ghanbari Shendi

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsnot available
Fundersnot available
KeywordsLactoseFood scienceLactaseSweetnessChemistrySugarLactose intoleranceCarbohydrateBiochemistry

Abstract

fetched live from OpenAlex

<p>One of the ways that can prevent lactose intolerant refuge to use dairy products is generation of new products<br />which is easily accessible.<br />In this study, flavored (banana, cocoa) low-lactose milk powder, flavored (banana and cocoa) milk powder,<br />low-lactose milk powder and milk powder were produced using a co-current spray dryer. The inlet and outlet<br />temperature was 145°C and 75°C, respectively.<br />Moisture, fat and lactose of treatments were measured and carbohydrates were compared also. Samples which<br />treated with enzyme (lactase, 0.15%) are bare of harmful carbohydrate for lactose intolerant and they can<br />reconstitute this powder for using and benefit the nutritional matters of milk without any side effects.<br />After reconstituting of samples, sensory evaluation was investigated. Investigations revealed that flavored<br />low-lactose milk accepted as a new product that doesn’t have disadvantages of low-lactose milk because of its<br />sweetness taste and flavored milk because of adding sugar (6-7%).</p>

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)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.344

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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
Published2016
Admission routes1
Has abstractyes

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