Estudo da qualidade de águas de poços no Iguape-CE
Bibliographic record
Abstract
According to the United Nations (UN), the target of one of the objectives Development Goals of halving the number of people without access to water drinking was reached - however, 768 million people still do not enjoy this advance overall, especially in rural areas. In this context, the population of Iguape, a district of municipality of Aquiraz-EC, is part of this minority, lacking sewage and supply for water distribution network. Thus, a study was performed to During the year 2013 with the objective of determining if the water wells used by population - the main source of those goods - was in accordance with the parameters of potability provided for in the regulations. The results show that for the plurality of wells human consumption have parameters outside the limits accepted by the existing laws - presence of E. coli, for example. As a reference for this study the Quality Index Canadian Council of Ministers of the Environment was employed to facilitate the Understanding of the data set and revealed that the ten wells monitored only one presents water quality rated as Good
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".