Sistema GaitGrabber na captação de dados cinemáticos durante a marcha
Bibliographic record
Abstract
O objetivo do presente estudo foi desenvolver e testar a confiabilidade e validade do Sistema GaitGrabber na obtenção de dados cinemáticos no plano sagital durante a marcha. Dezoito indivíduos participaram do estudo de confiabilidade e 28 do estudo de validade concorrente. O Sistema Qualisys Pro-Reflex foi usado como padrão ouro. O GaitGrabber calcula os ângulos relativos de quadril, joelho e tornozelo no plano sagital. O Coeficiente de Correlação Intraclasse (CCI) foi usado para comparação das médias dos picos angulares entre visitas. Para a validade, foi aplicada a análise de componentes principais. Os CCI variaram de moderados a excelentes e a validade do sistema foi comprovada para o tornozelo. Foi demonstrada diferença significativa na amplitude de movimento de quadril e joelho, a qual foi atribuída a características técnicas dos instrumentos. O Sistema GaitGrabber é válido e confiável e pode ser usado na clínica para análise cinemática da marcha no plano sagital.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".