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Record W2060894663 · doi:10.1038/clpt.2014.145

Accelerated Access to Innovative Medicines for Patients in Need

2014· article· en· W2060894663 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsHealth CanadaInstitut National d'Excellence en Santé et en Services Sociaux
FundersInnovative Medicines InitiativeNational Comprehensive Cancer NetworkEuropean Federation of Pharmaceutical Industries and AssociationsBill and Melinda Gates Foundation
KeywordsClinical pharmacologyVariety (cybernetics)Access to medicinesBusinessHealth careMedicinePharmacologyEconomic growthComputer scienceEconomicsNursingPublic health

Abstract

fetched live from OpenAlex

There is broad agreement among health-care stakeholders that more must be done to ensure that patients have timely access to new and innovative medicines. Assuming that industry will continue to develop such medicines at a sustainable rate, regulators and payers become the gatekeepers. Regulators, starting in the late 1980s/early 1990s, and, more recently, payers have implemented a variety of early-access pathways or initiatives, and this practice is continuing even today. This article describes the specific approaches that have been taken in four economically developed regions, reviews their success rates, and suggests possible new directions.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.272
GPT teacher head0.473
Teacher spread0.201 · 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