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Record W2090717864 · doi:10.1186/1710-1492-6-s3-p34

CoA Comparison of Manitoba CHILD participants and the general Manitoba population

2010· article· en· W2090717864 on OpenAlexaffvenueabout
Jennifer L. P. Protudjer, Jing Luo, Allan B. Becker

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of ManitobaResearch ManitobaManitoba Health
Fundersnot available
KeywordsGerontologyPopulationGeographyPsychologyDemographyMedicineSociology

Abstract

fetched live from OpenAlex

Background Low socioeconomic status (SES) is a risk factor for a broad array of health outcomes. Moreover, we sought to describe the socio-environmental status of participants in the vanguard and cohort of the Canadian Healthy Infant Longitudinal Development (CHILD) Study and compare these participants’ characteristics to similar characteristics of the general Manitoba population. Materials and methods Nation-wide CHILD plans to recruit pregnant women at 4 Canadian sites including Winnipeg where 1000 participants will be recruited over the next two years. Participants (including those in the ‘vanguard’, pilot group) completed questionnaires about their health, environment and SES. These data were described using descriptive and x 2 analyses. General Manitoba population data were obtained from Statistics Canada and Manitoba Health and Healthy Living. Results

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.030
GPT teacher head0.329
Teacher spread0.300 · 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

Citations0
Published2010
Admission routes3
Has abstractyes

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