Informe de monitoreo ambiental de calidad de aire y suelo en el distrito y Provincia Constitucional del Callao, realizado del 17 al 24 de agosto de 2015
Bibliographic record
Abstract
Presenta los resultados del monitoreo ambiental de calidad de aire y suelo en el distrito y Provincia Constitucional del Callao, realizado del 17 al 24 de agosto de 2015. Entre sus conclusiones para calidad de aire menciona que las concentraciones de plomo (Pb) obtenidas en todos los puntos de monitoreo no excedieron el valor estándar de 0,5 uJg/m3 para 24 horas, establecido en los Estándares de Calidad Ambiental de Aire (AAQC) de Ontario. No obstante, la concentración promedio más elevada se obtuvo en la estación CAHV01 -Callao (0, 1 56 ¡..Jg/m3) correspondiente a la Institución educativa María Reiche. Respecto a la calidad del suelo, señala que las concentraciones de mercurio total (Hg) obtenidas en todos los puntos de monitoreo, incluida la obtenida en el punto S-1 88, no excedieron el ECA para Hg (6,6 mg/kg), a excepción del punto S-08 que excedió tanto el ECA para Hg (en 2,7 veces) como la concentración obtenida en el punto S-1 88 (en 78 veces). Las concentraciones de plomo total (Pb) obtenidas en los puntos de monitoreo S-01 , S04, S-06, S-08, S-08A, S-1 2, S-1 7, KP-07, TP-08A, TP-09A y TP-10 excedieron el ECA para Pb (140 mg/kg).
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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".