Determinación de los niveles de plomo y cadmio en labiales en barra multimarca mediante espectrofotometría de absorción atómica según comercialización en Lima cercado
Bibliographic record
Abstract
The study had the following objective: to establish the differences in levels of lead and cadmium in multibrand bar lipids determined by atomic absorption spectrophotometry according to commercialization in Lima Cercado, the methodology used responds to the following typification: Cuasiexperimental Design Type: Descriptive correlational, Transversal, Applied. Population: Labials marketed around the Central Market of Lima. Sample: Formal Sale (06) Informal Sale (09), Technical Data Collection Techniques: Atomic Absorption Spectrometry associated with graphite furnace. Instruments of data collection: Observation sheet. Results: The percentage of lead and cadmium in lipsticks, in the case of the brands Wendy, Rose Paris, Rojo Cereza and Be Matte, is higher than 10% of the total lead of lipsticks (ppm); while the brands Wendy, Lucys, Rojo Cereza and P & W exceeded 10% of Cadmium total of lipsticks (ppm). Conclusion: Concentration levels of lead and cadmium at 100% are in the range allowed by not exceeding the limits according to the Canadian international standard of 10ppm in multi-brand bar lipsticks
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".