Caracterización de la composición corporal, el perfil dermatoglífico, el consumo máximo de oxígeno (vo2 máx.) y la fuerza prensil en la selección Bogotá de triatlón
Bibliographic record
Abstract
Characterization of body composition, dermatoglyphic profile, the maximum oxygen consumption (vo2 máx.) and prehensile force in the selection Bogotá triathlon. In order to obtain a profile of the physical and physiological components of the Bogota triathletes, to identify how they are in relation with the world's best in this sport, the Bogota triathletes were assessed, according to two conditions, the first one was to be situated in the best places of the national ranking, and the second one, was to have been represented Colombia in different international events. The study was descriptive and cross-sectional data collection, once the participants signed the respective informed consent, we carry out the assessment. The methodology used for data collection were: to determine body composition by electrical bioimpedance technique. Verification of dermatoglyphic characteristics, applying the method of CUMMINS & Midlo (1963), the collection of fingerprints was performed ink covering the distal phalanges. The maximum oxygen consumption was obtained through direct testing using ergo spirometer (cycle ergometer test astrand (Heyward 2008) and Montreal test (UMTT)). Finally, the grip strength was determined by using a Jamar dynamometer and the directions given by the American Association of Hand Therapists for this type of testing, the age of the sample (n =6) was 25 ± 4.8 years ; time of practice 7.2 ± 2.93 years; height in women was 1.63 ± 0.03 and 1.76 ± 0.06 in men; the BMI in women was 19.0 ± 1.07 and 20.5 ± 0.97 males; the fat percentage in women was 13.9 ± 0.42 and 13.7 ± 3.52 males; the grip strength in women was 30.0 ± 3.39 and 38.0 ± 3.12 males. As for dermatoglyphic variables, results in ladies were: Arc: 3.0 ± 2.83, Presilla: 6.0 ± 1.41, whorl: 1.0 ± 1.41, D10: 8.0 ± 4 24, SQTL: 80.5 ± 46.0 in men were: Arc: 2.5 ± 2.08, Presilla: 7.0 ± 2.16, whorl: 0.5 ± 1.0, D10 8 ± 2.45 SQTL: 84.0 ± 25.5. It showed that the most important predominant values were Dermatoglyphics Presilla drawings, whorls absence and D10 and a SQTL medium/low. Finally on the maximum oxygen consumption ladies the results were: 61.7 ± 4.48 (T. cycle ergometer), 60.9 ± 3.49 (T. Montreal), and males were 58.8 ± 9.68 (T. cycle ergometer), 59.1 ± 5.40 (T. Montreal).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".