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Record W6977092675 · doi:10.6084/m9.figshare.14429116

Additional file 1 of Associations between attainment of incentivised primary care indicators and incident diabetic retinopathy in England: a population-based historical cohort study

2021· article· en· W6977092675 on OpenAlexaff

Bibliographic record

VenueFigshare · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPropensity score matchingHazard ratioDiabetic retinopathyCovariateProportional hazards modelDiabetes mellitusUnivariateMultivariate statistics

Abstract

fetched live from OpenAlex

Additional file 1: Table S1. Diabetic retinopathy code list. Tables S2-S4. Univariate hazard ratios (with corresponding 95% CIs and p-values) for risk of diabetic retinopathy by each covariate across exposure definitions after 1:1 propensity score matching. Tables S5-S7. Multivariate hazard ratios (with corresponding 95% CIs and p-values) for risk of diabetic retinopathy by each covariate across exposure definitions after 1:1 propensity score matching. Tables S8-S9. Univariate and multivariate hazard ratios (with corresponding 95% CIs and p-values) for risk of diabetic retinopathy by each covariate across QOF exposure definitions, among those who meet all other QOF targets, after 1:1 propensity score matching. Tables S10-S12. Univariate hazard ratios (with corresponding 95% CIs and p-values) for risk of sight-threatening diabetic retinopathy by each covariate across exposure definitions after 1:1 propensity score matching. Tables S13-S15. Multivariate hazard ratios (with corresponding 95% CIs and p-values) for risk of sight-threatening diabetic retinopathy by each covariate across exposure definitions after 1:1 propensity score matching. Tables S16-S17. Univariate and multivariate hazard ratios (with corresponding 95% CIs and p-values) for risk of sight-threatening diabetic retinopathy by each covariate across QOF exposure definitions, among those who meet all other QOF targets, after 1:1 propensity score matching. Figure S1. Kaplan-Meier survival curves (and corresponding 95% CIs) for risk of diabetic retinopathy after 1:1 propensity score matching across exposure definitions. Figure S2. Kaplan-Meier survival curves (and corresponding 95% CIs) for risk of diabetic retinopathy after 1:1 propensity score matching across QOF exposure definitions, among those who meet all other QOF targets. Figure S3. Kaplan-Meier survival curves (and corresponding 95% CIs) for risk of sight-threatening diabetic retinopathy after 1:1 propensity score matching across exposure definitions. Figure S4. Kaplan-Meier survival curves (and corresponding 95% CIs) for risk of sight-threatening diabetic retinopathy after 1:1 propensity score matching across QOF exposure definitions, among those who meet all other QOF targets.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.509
Threshold uncertainty score0.700

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.5090.032

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 head0.029
GPT teacher head0.329
Teacher spread0.299 · 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.

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
Published2021
Admission routes1
Has abstractyes

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