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Record W6981864710

FloraGLO® Crystalline Lutein

2014· other· en· W6981864710 on OpenAlexaboutno aff

Bibliographic record

VenueContact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech) · 2014
Typeother
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsLuteinIngredientFood productsHealth foodHealth benefitsFood safety
DOInot available

Abstract

fetched live from OpenAlex

Health Canada has notified Kemin Foods, L.C. that it has\nno objection to the sale of FloraGLO® Crystalline Lutein\nas a food ingredient to be added to a wide variety of\nfoods at lutein levels of 0.3 to 10 mg/serving or reference\namount to beverages, cereals, puddings and fillings, trail\nmix, plant based beverages, egg products, margarine-like\nspreads, salad dressings, frozen desserts, soups, candies,\nand at 20 mg/day level in food for special dietary use\nintended as the sole source of nutrition.\nThe Department has conducted a comprehensive safety\nassessment of the addition of lutein to the Canadian food\nsupply, according to its Guidelines for the Safety Assessment\nof Novel Foods Derived from Plants and Microorganisms.\nThe following provides a summary of the notification\nfrom Kemin Foods, L.C. and the evaluation by Health\nCanada and contains no confidential business\ninformation.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.077
GPT teacher head0.366
Teacher spread0.290 · 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.

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
Published2014
Admission routes1
Has abstractyes

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