MétaCan
Menu
Back to cohort
Record W2074794912 · doi:10.1089/tmj.2012.0299

The Ontario Telemedicine Network: A Case Report

2013· article· en· W2074794912 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTelemedicine Journal and e-Health · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsOntario Stroke Network
Fundersnot available
KeywordsTelemedicineCorporationHealth careBusinessGovernment (linguistics)TelecommunicationsMedical emergencyMedicineComputer scienceFinanceEconomic growthEconomics

Abstract

fetched live from OpenAlex

This article describes the evolution, current status, and future prospects of the Ontario Telemedicine Network (OTN). Started in the late 1990s (and formally established in 2006), OTN is a not-for-profit corporation primarily funded by the Government of Ontario, Canada, that aims to improve access to and quality of care throughout the Province. It covers a land mass larger than France and serves a population of just over 13 million, the vast majority of which live in a narrow strip close to the U.S. border. Telemedicine has been effective in reducing travel to usual sources of care, reducing hospital admissions, and improving efficiency and prompt access to care. The diffusion of telemedicine is accelerating in Ontario, and it is becoming an integral part of the health system.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.280
Teacher spread0.249 · 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