Bibliographic record
Abstract
Este trabalho aborda a criação de base com nomes dos produtores científicos da Fiocruz, visando facilitar os links entre esses nomes e suas produções registradas em bases de conhecimento, além de preparar a Instituição para o futuro uso dos Topics Maps, exigidos pela ISO/IEC 13.250 de 2000. Os anais de eventos científicos da Fiocruz e catálogos de teses são utilizados como fontes de pesquisa. A coleta dos nomes foi realizada tal como eles se apresentam nas fontes. A entrada básica dos nomes foi estabelecida pela AACR2 e as informações foram registradas, na base, de acordo com o Formato Marc. A base servirá para a identificação e avaliação da produção científica dos pesquisadores, não apenas nos eventos da Fiocruz, mas também nas fontes de comunicação científica sob as Normas de Vancouver. Os links com a produção citada na Plataforma Lattes e na sua versão institucional (Fiolattes) serão ser beneficiados.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.101 |
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; both teacher heads agree on what is shown here.
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".