MétaCan
Menu
Back to cohort
Record W1952248396 · doi:10.1002/047167849x.bio063

Dietary Fat Substitutes

2005· other· en· W1952248396 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBailey's Industrial Oil and Fat Products · 2005
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsFood scienceFat substituteOrganolepticMouthfeelLow calorieDietary fatCalorieFood productsChemistryBiology

Abstract

fetched live from OpenAlex

Abstract Fat substitues are becoming an important part of the American diet. Many Americans are looking for ways to enjoy their favorite foods while maintaining a low‐calorie diet. Food scientists are developing new food additives that will mimic the function of fats in foods while keeping the calorie contents of foods low. Dietary fat substitutes are food constituents able to replace, completely or partially, dietary fat in such a manner that certain physical and organoleptic properties of the food product involved are left unaltered as far as possible. There are two principal approaches to the replacement of dietary fat. The farst involves hydratable carbohydrates and proteins with the mouthfeel of fats. The second includes nonabsorbable synthetic substances with the physical properties and technical function of fat within foods.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.541
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.043
GPT teacher head0.216
Teacher spread0.173 · 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