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Record W1151969024

Business Case for Establishing a Pharmacogenomics Testing Program for Carbamazepine Sensitivity at Children’s and Women’s Health Care Centre in Vancouver British Columbia Canada

2008· article· en· W1151969024 on OpenAlexaboutno aff
Christopher S. Alexander

Bibliographic record

VenueSummit (Simon Fraser University) · 2008
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacogenomicsCarbamazepineHealth careMedicineSensitivity (control systems)Family medicinePsychiatryPolitical sciencePharmacologyEngineeringEpilepsy
DOInot available

Abstract

fetched live from OpenAlex

This report was prepared for the molecular diagnostic laboratory at Children’s and Women’s Hospital in Vancouver B.C. and makes a business case for the introduction of a new genetic diagnostic test designed to detect patients that are susceptible to adverse reactions to the drug carbamazepine. This is a relatively small market requiring a maximum of 2,600 tests a year which could easily be integrated into the laboratory’s current operations. It is proposed that provision of the service be free to the patients of British Columbia at maximum added cost of $20,000 per year, which could be more than recovered by offering the test to the rest of Canada at a recommended $99 per test. At this time, this program is an ideal starting point for the laboratory to expand the scope of its services into safety pharmacogenetics and establish itself as a leader in this emerging field.

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)0.009
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.506
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0120.001

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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