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Record W2612509136

Digestibility of Selected Resistant Starches in Humans

2015· dissertation· en· W2612509136 on OpenAlexfundno aff
Asmaa Alraefaei

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsFood scienceBiologyAnimal science
DOInot available

Abstract

fetched live from OpenAlex

Resistant starches (RSs) are food ingredient sources of fiber. Their fiber content is measured in vitro, which may not accurately reflect in vivo digestibility. Carbohydrate content of commercial starches (Hi-Maize® 260 [HM], Hylon® VII [HY] and Amioca [AM]) was determined in vivo. Fiber values for HM, HY and AM were: 32.8 g, 11.5 g and 0 g in vitro, 12.5 g, 40.8 g and 6.2 g from blood glucose study (n=10) and 18.7 g, 21.6 g and 1.7 g from ileostomy study (n=3). 13.4% and 43.5% of RS in HM and HY was recovered in effluent. Total bacterial count (TBC) was 10^9 CFU/ g of effluent and positive correlation (r=0.4955) existed between TBC and carbohydrates by difference for HM and HY. The in vitro AOAC 991.43 method underestimates fiber content in HY and AM and overestimates fiber content in HM and does not accurately reflect fiber content of RS products.

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: none
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)0.0010.001

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 head0.028
GPT teacher head0.273
Teacher spread0.245 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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