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Record W7064078449

Annual incidence of traumatic brain injury among Ontario adults with and without intellectual and developmental disabilities and 30-day readmissions

2020· dissertation· en· W7064078449 on OpenAlexaboutno aff

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsTraumatic brain injuryIncidence (geometry)CohortOddsOdds ratioCohort studyYoung adultIntellectual disabilityPoison control
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines Ontario adults with and without intellectual and developmental disabilities (IDD), to identify traumatic brain injury (TBI) incidence and the impact of TBI history on 30-day readmissions. \nObjectives: 1) compare TBI incidence between adults with and without IDD over time and by demographic characteristics; 2) compare odds of 30-day readmissions between adults with IDD, history of TBI, or both in 2016/17. \nManuscript 1: Using a historical cohort design, TBI incidence was greater among adults with IDD versus without in all 15 study years. \nManuscript 2: This historical cohort study determined that having IDD or IDD and a history of TBI increased the odds of 30-day readmissions versus history of TBI only. \nConclusion: Results of this thesis suggest that among adults with IDD, risk of TBI is higher versus those without IDD, and 30-day readmissions are similarly increased among those with IDD with or without a history of TBI.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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.

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
Published2020
Admission routes1
Has abstractyes

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