Associação entre fadiga, senso de coerência e funcionalidade no pós infarto do miocárdio
Bibliographic record
Abstract
tão especial.Amo vocês!Ao Italo Everton pela companhia, carinho, cuidado e ajuda durante toda esta trajetória.Te amo.Aos meus amigos Sergio Carramanho, Beatriz Graça, Ângelo Moraes, Nataly Feitoza e Theodora Paiva que nunca desistiram de mim, sempre estiveram presentes me dando força e me auxiliando.A todas as pessoas atendidas no ambulatório de coronariopatias do IDPC que conheci durante todo o processo de coleta.Sem vocês, esta pesquisa não seria concretizada.Aos colegas que fiz durante a pós-graduação, em especial a equipe dos Colóquios.Ao IDPC por ser um centro de excelência e referência em cardiologia.Pelo apoio à pesquisa e extensão.Ao Enf.ºDr. Sergio Simonetti do setor de Educação Continuada, Enf.ª Neusa e Secretária Sandra do ambulatório de coronariopatias do IDPC por todo o carinho, auxílio e recepção que fizeram toda a diferença durante a coleta.À Escola de Enfermagem da Universidade de São Paulo pela excelente recepção e acolhida dos calouros.Pela oportunidade e formação de excelência que me fez enxergar o mundo da pesquisa e docência de maneira admirável.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".