DigiAtlas: Dispositivos Móveis Auxiliando o Ensino Multidisciplinar de Questões Ambientais
Bibliographic record
Abstract
Currently the environmental area is receiving greater attention.It is important for the understanding of our existence as part of a natural system and our responsibility under the same.This work presents the DigiAtlas application based on this theme, it features on a digital map, environment, abiotic and biotic data, and allows the management of these data.New data collected in the application can be shared, allowing the exchange of knowledge between users.The application was developed for mobile devices and can be used as a research tool, and teaching and learning in classrooms or field activities, including multidisciplinary way.Resumo.Atualmente a temática ambiental está recebendo grande atenção devido a sua importância para o entendimento de nossa existência, como parte de um sistema natural e de nossa responsabilidade sob o mesmo.Este artigo apresenta o aplicativo DigiAtlas com base nessa temática, ele apresenta em um mapa digital dados ambientais, abióticos e bióticos, além de permitir o gerenciamento desses dados.Novos dados coletados na aplicação podem ser compartilhados permitindo a
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".