Bibliographic record
Abstract
AgradecimentosGostaria de agradecer a Deus por me dar sabedoria e força para superar todos os contratempos.Gostaria de agradecer de forma especial a minha mãe Sueli, que nunca, em momento algum, deixou de acreditar em mim, sempre me ajudando com palavras de incentivo.Agradecer também por ser o maior exemplo que tive.Mulher guerreira e honesta.Não menos importante, queria agradecer meu pai Valdomiro pela confiança e ajuda.Ao meu irmão Odair, pelo companheirismo de sempre.Quero agradecer ao meu orientador José Claudinei por todos os ensinamentos que me foram dados, toda disponibilidade e paciência e aos meus amigos que, eu sei, sempre confiaram que eu teria capacidade de concluir este mestrado.Por fim, à FAPEMIG pelo apoio financeiro. ResumoEste trabalho tem o objetivo de estudar os espaços de Hilbert de reprodução, propriedades espectrais da transformada de Laplace e um método para obtenção da transformada de Laplace inversa.
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 | 0.002 | 0.010 |
| 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 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".