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Biochemical assessment of hormonal regulation in bone metabolism disorders: A comprehensive analysis of postmenopausal osteoporosis

2024· article· W7125600779 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.

fundA Canadian funder is recorded on the 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

VenueInternational Journal of Advanced Biochemistry Research · 2024
Typearticle
Language
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMcGill University Health CentreMcGill University
KeywordsOsteoporosisBone remodelingOsteopeniaBone mineralBone resorptionHormonePostmenopausal osteoporosisPathogenesis

Abstract

fetched live from OpenAlex

The intricate interplay between hormonal signals and bone remodeling processes determines skeletal integrity throughout the lifespan, with disruption of this balance underlying the pathogenesis of postmenopausal osteoporosis. This research comprehensively evaluated biochemical markers of bone metabolism, hormonal parameters, and treatment responses in 463 postmenopausal women stratified by bone mineral density at the McGill Institute for Bone and Mineral Research. Participants included healthy controls (n=85), osteopenia (n=124), untreated osteoporosis (n=156), and treated osteoporosis (n=98). Bone formation markers (P1NP, osteocalcin, bone-specific alkaline phosphatase) and resorption markers (CTX, TRAP-5b) demonstrated distinct patterns across disease categories, with osteoporosis patients exhibiting 106% elevated CTX (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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.034
GPT teacher head0.444
Teacher spread0.410 · 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