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Record W7001006802

Health Canadaâs Proposal to Accept a Health Claim about Soy Products and Cholesterol Lowering

2014· other· en· W7001006802 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueContact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHealth claims on food labelsClosing (real estate)Cholesterol loweringSubject (documents)PhraseFood and drug administrationHealth foodHealth insurancePublic health
DOInot available

Abstract

fetched live from OpenAlex

Health Canada’s Food Directorate is making available this paper, following an internal peer review by Food Directorate\nscientific and regulatory experts, to seek comments from peer scientists, regulators and stakeholders prior to finalization.\nThis paper is open for comment commencing October 22, 2014, and closing on November 21, 2014 (30 calendar days).\nComments of a scientific nature only will be considered in developing the final version of this document. Authors will strive\nto document how the various comments received, when deemed relevant, were considered in amending and shaping the\nfinal published document.\nComments may be submitted electronically at the address indicated below. Please use the phrase “Soy Health Claim Comments”\nin the subject box of your e-mail.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.323
Teacher spread0.298 · 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