Impactos causados por metais em humanos devido à disposição inadequada de equipamentos eletroeletrônicos
Bibliographic record
Abstract
Os metais pesados podem acarretar serias disfuncoes na saude humana e causar graves problemas em plantas e animais. Este trabalho tem como objetivo desenvolver um estudo sobre o risco potencial que os residuos de equipamentos eletroeletronicos podem trazer para os seres humanos e o meio ambiente como um todo, devido a grande quantidade de metais pesados que estes possuem em sua composicao e, ao serem descartados de forma erronea, trazem preocupantes danos ao planeta. Analisando-se o potencial produtivo de microcomputadores pelos paises do BRICS (Brasil, Russia, India, China e Africa do Sul) e os paises do G7 (Estados Unidos, Japao, Alemanha, Reino Unido, Franca, Italia e Canada) em uma decada, no consumo de menor demanda ecologica de materia-prima e recursos naturais, sendo este de 3 computadores por decada, pretende-se observar a quantidade de metais pesados que podem ser produzidos nesse espaco de tempo por esses paises.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".