Petrogênese, fonte mantélica e diferenciação magmática das rochas máficas da Província Mineral de Alta Floresta, Cráton Amazônico
Bibliographic record
Abstract
UFMT).Durante a graduação, participou de pesquisas em petrologia de rochas magmáticas, com ênfase em rochas máficas.No mestrado, desenvolveu um estudo geoquímico sobre as rochas máficas da Província Mineral de Alta Floresta, resultando na publicação de seu primeiro artigo científico, intitulado "Geoquímica dos diques máficos da região leste da Província Aurífera Alta Floresta: inferências sobre a fonte mantélica e implicações geodinâmicas".Em 2019, ingressou no doutorado voltado à compreensão das rochas máficas da mesma região, ampliando os estudos realizados no mestrado.Suas pesquisas abrangem temas relacionados à petrologia de rochas magmáticas, incluindo geofísica aérea, geoquímica de elementos maiores e traços, geoquímica isotópica (U-Pb, Sr e Sm-Nd), química mineral e modelagem geoquímica.Desde o início do doutorado, concilia suas atividades acadêmicas com a experiência profissional
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 | 0.000 | 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) | 0.003 | 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".