NUTRITIONAL STATUS AND CARDIOMETABOLIC RISK IN WOMEN: RELATIONSHIP WITH USUAL AND NON-USUAL COMPONENTS OF BODY COMPOSITION
Bibliographic record
Abstract
presso arterial sistlica (PAS), presso arterial diastlica (PAD). Constataram-se diferenas significativas entre os componentes usuais e no usuais da composio corporal para a CC, PAD e glicemia em jejum nos diferentes grupos: eutrfico, sobrepeso, obeso I, II e III; detectaram-se correlaes entre os componentes da composio corporal quando comparados aos triglicerdeos e lipoprotenas de alta densidade (p<0,05). Alm disso, a anlise de curva ROC indicou que o IMM e o IMG podem discriminar os componentes relacionados SM de maneira semelhante ao IMC. Conclui-se, que tanto os componentes usuais e no usuais da composio corporal podem detectar riscos associados ao sobrepeso e obesidade das mulheres analisadas nessa pesquisa.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".