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Record W1976749878 · doi:10.2147/dhps.s46232

Attrition of Canadian Internet pharmacy websites: what are the implications?

2013· article· en· W1976749878 on OpenAlexaboutno aff
Michael A. Veronin, Clancy

Bibliographic record

VenueDrug Healthcare and Patient Safety · 2013
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Quality and Counterfeiting
Canadian institutionsnot available
FundersAmerican Heart Association
KeywordsPharmacyThe InternetAttritionUnavailabilityInternet privacyMedicineBusinessAdvertisingWorld Wide WebFamily medicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: The unavailability of Internet pharmacy websites may impact a consumer's drug purchases and health care. OBJECTIVE: To address the issue of attrition, a defined set of Canadian Internet pharmacy websites was examined at three separate time intervals. METHODS: In February to March 2006, 117 distinct, fully functional "Canadian Internet pharmacy" websites were located using the advanced search options of Google and the uniform resource locator (URL) for each website was recorded. To determine website attrition, each of the 117 websites obtained and recorded from the previous study was revisited at two later periods of time within a 4-year period. RESULTS: After approximately 4 years and 5 months, only 59 (50.4%) sites were found in the original state. Thirty-four sites (29.1%) had moved to a new URL address and were not functioning as the original Internet pharmacy. For 24 sites (20.5%) the viewer was redirected to another Canadian Internet pharmacy site. CONCLUSION: Of concern for patients if Internet pharmacy sites were suddenly inaccessible would be the disruption of continuity of care.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.103
GPT teacher head0.356
Teacher spread0.253 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2013
Admission routes1
Has abstractyes

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