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Record W2121752736 · doi:10.1196/annals.1346.044

Misconceptions About Calcimimetics

2006· review· en· W2121752736 on OpenAlexaff
E.F. Nemeth

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2006
Typereview
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsCollege of Physicians and Surgeons of OntarioToronto Public Health
Fundersnot available
KeywordsCinacalcetCalcimimeticCalcium-sensing receptorAllosteric modulatorAllosteric regulationChemistryDrug discoveryParathyroid hormoneHyperparathyroidismPharmacologyReceptorSecondary hyperparathyroidismCalciumMedicineEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

Calcimimetics are ligands that activate the calcium receptor. Some are small molecules and of these, the most extensively studied are phenylalkylamines like cinacalcet. This compound is a positive allosteric modulator that selectively targets the parathyroid calcium receptor to inhibit the secretion of parathyroid hormone. Cinacalcet is the first calcimimetic compound to attain regulatory approval for the treatment of hyperparathyroidism resulting from end-stage renal disease. The discovery of calcimimetics and the receptor they act on are considered with the intent of extracting lessons relevant to medical research and the discovery of new drugs.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.004
Scholarly communication0.0020.007
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.004

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 head0.251
GPT teacher head0.457
Teacher spread0.206 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations36
Published2006
Admission routes1
Has abstractyes

Explore more

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