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Additional file 3 of Towards functionally individualised designed footwear recommendation for overuse injury prevention: a scoping review

2024· dataset· en· W6977290531 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typedataset
Languageen
FieldSocial Sciences
TopicHealth, Education, and Cultural Studies
Canadian institutionsGoogle (Canada)
Fundersnot available
KeywordsData collectionOutcome (game theory)PopulationTable (database)CrashVariables

Abstract

fetched live from OpenAlex

Additional file 3: Table 1. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for midsole hardness and cushioning modifications with a detailed description of the footwear studied. Table 2. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for midsole geometrical modifications (heel-toe drop and midsole thickness) with a detailed description of the footwear studied. Table 3. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for postings with a detailed description of the footwear studied. Table 4. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for wedges with a detailed description of the footwear studied. Table 5. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for arch support systems with a detailed description of the footwear studied. Table 6. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for heel flare modifications with a detailed description of the footwear studied. Table 7. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for crash pad with a detailed description of the footwear studied. Table 8. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for rocker modifications with a detailed description of the footwear studied. Table 9. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for flex grooves modificaions with a detailed description of the footwear studied. Table 10. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for longitudinal bending stiffness and flexibility modificaions with a detailed description of the footwear studied. Table 11. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for upper modificaions with a detailed description of the footwear studied. Table 12. Summary of the study characteristics, publication details, population details, data collection protocol, covariates, and biomechanical outcome variables for lacing modificaions with a detailed description of the footwear studied.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9920.003

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 head0.143
GPT teacher head0.422
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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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