Informe de monitoreo ambiental de calidad del aire en la ciudad de Moyobamba, distrito y provincia de Moyobamba, departamento de San Martín, realizado del 24 al 29 de noviembre de 2015
Bibliographic record
Abstract
Presenta los resultados del monitoreo ambiental de calidad del aire en la ciudad de Moyobamba, distrito y provincia de Moyobamba, departamento de San Martín, realizado del 24 al 29 de noviembre de 2015. Las concentraciones diarias de material particulado menor a 1 O micras (PM-1 O) reportadas en las estaciones de monitoreo CA-01 y CA-02 (ciudad de Moyobamba) no \nexcedieron el Estándar Nacional del Calidad Ambiental (ECA) para un periodo de 24 horas, equivalente a 150 ug/m3. El máximo valor obtenido fue de 60,46 y 68,88 ug/m3 respectivamente. Las concentraciones diarias de sulfuro de hidrógeno (H2S) reportadas en las estaciones de monitoreo CA-01 y CA-02 no excedieron el Estándar Nacional de Calidad Ambiental (ECA) para un periodo de 24 horas, equivalente a 150 ug/m3. Las concentraciones promedio diarias de benceno reportadas en las estaciones CA-01 y CA-02 no excedieron el estándar referencial de calidad ambiental del aire de Ontario - Canadá, para un periodo de 24 horas, equivalente a 2,3 ug/m3.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".