THE THREAT OF GLOBAL DIMMING AND THE POLLUTION OF ATMOSPHERICH AIR CASE STUDY: GOIÂNIA-GOIÁS-BRAZIL
Bibliographic record
Abstract
Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 This work evaluates the quiet threat of the Global Blackout in the capital of Goias, Goiania, in order to evidence where level if finds such phenomenon in the city. The metodológica option occurred through a exploratoria research of data in the Climatic Station of Goiânia, qualitative and quantitative nature, and in accordance with data and maps of the radiation and solar irradiation supplied by the Ministry of Sciences and Technologies. The subject little is known in Brazil and perhaps it did not have greater seriousness in being treated by the Committee Intergovernamental de Climatic Mudanças, what it restricted of the public the access the important information on intemperies of the climate due to the high level of atmospheric pollution. In such a way, the work will be restricted to an only city since the surrounding alterations of the region, if have become each time more common and of sped up occurrence. DOI 10.12957/ric.2013.8180
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".