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Record W7133007171

Access to Sedation Modalities in Quebec

2024· dissertation· W7133007171 on OpenAlexaboutno aff
Mania Nik Kami

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsSedationModalitiesPerceptionVenous accessMEDLINEContinuing education
DOInot available

Abstract

fetched live from OpenAlex

Background: Discrepancies in access to sedation and general anesthesia (S/GA) for dentistry exist in Canada, with limited data on its use outside hospital settings. A gap in literature exists regarding S/GA access and use in Quebec.Purpose: To evaluate the barriers and/or facilitators in accessing S/GA for dentistry as perceived by Quebec’s dentists. Methods: A web-based survey was distributed to Quebec’s dentists (n = 4,797). Results: Reported access and utilization were inversely related to distance. Dentists’ perception of the need for S/GA was the main barrier for both utilizers and non-utilizers. Utilizers cited time commitment, financial requirements, and lack of continuing dental education (CDE) as barriers, while non-utilizers reported a lack of S/GA providers and the risks of adverse events. Conclusion: Access to S/GA in Quebec is not uniform, though findings must be interpreted cautiously due to a low response rate and over-representation of utilizers.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.052
GPT teacher head0.421
Teacher spread0.368 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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