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Record W7034867142

Why is insulin and epinephrine more expensive in the United States than in Canada and the U.K?

2022· other· en· W7034867142 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

VenueSUNY Digital Repository Support (State University of New York System) · 2022
Typeother
Languageen
FieldSocial Sciences
TopicDiverse Research Studies Overview
Canadian institutionsnot available
Fundersnot available
KeywordsEpinephrineInsulinDiabetes mellitusHealth careHealthcare system
DOInot available

Abstract

fetched live from OpenAlex

In the United States insulin and epinephrine injections are known for being more expensive compared to the United Kingdom and Canada. This paper aims to identify the main causes for the price discrepancy. They include higher rate of demand, the differences between healthcare systems, and the differences in pharmaceutical market structure in the U.S. compared to Canada and the U.K. In the U.S. there is a higher rate of individuals who have diabetes and allergies which is likely to increase the demand for insulin and epinephrine. Another factor that leads to the price discrepancy is the difference in healthcare systems in Canada and the U.K. compared to the U.S. Canada and the U.K. markets have institutions that regulate the prices of drugs for pharmaceutical companies unlike in the U.S

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Other
Teacher disagreement score0.250
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.227
Teacher spread0.209 · 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