"Validação do teste progressivo da Universidade de Montreal (TPUM) na comunidade escolar de ensino medio da cidade de Talca" Chile
Bibliographic record
Abstract
Planilhas de collha de dados 90 ANEXO 1.1 Teste de Lactato 90 ANEXO 1.2 Teste de Montreal 91 ANEXO 1.3 Teste Naveta 97 ANEXO 1.4 Teste de Cooper 99 ANEXO 2 Outras Tabelas 100 ANEXO 2.1 Tabela de VO2 máx.segundo Astrand (1992) 100 ANEXO 2.2 Tabela de VO2 máx.(expressado em ml/kg/min), tempo e velocidade de 100 percurso no TPUM (García Manso, 1996) ANEXO 2.3 Tabela de tempos por baliza, TPUM.(Tempos percurso e velocidade 101 máxima) ANEXO 2.4 Tabela de distância percorrida no teste de 12 minutos de carreira e o 102 Respetivo consumo de oxigênio, expressado em ml/kg/min.
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 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 | 0.007 | 0.025 |
| 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 | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".