Cuantificación de metales pesados e hidrocarburos totales en sedimento marino de la zona costera de Ecuador
Bibliographic record
Abstract
Port activity in Ecuador generates environmental pollution, a topic that is poorly studied in the country. The concentration of total hydrocarbons (TPH), trace metals (antimony, arsenic, cadmium, manganese, mercury, lead and molybdenum), and pH were determined in sediments from four fishing ports in Manabí with different coastal activities. Four sampling events were carried out (A1-B1 during the rainy season and A2-B2 during the dry season) at the ports of Jaramijó, Manta, San Mateo, and Ligüiqui. Sediment samples were collected from a depth of 10-15 cm and analyzed using atomic absorption spectrophotometry. Results showed similar levels of lead, TPH, cadmium, and molybdenum (<10 mg/kg, <40 mg/kg, <0.50 mg/kg, and <25 mg/kg, respectively) across all ports in both periods. Manta had the highest concentrations of antimony (0.34 mg/kg), manganese (142.27 mg/kg), and mercury (4.53 mg/kg), while San Mateo showed the highest concentration of arsenic (6.53 mg/kg). Ligüiqui had the lowest concentrations of antimony, arsenic, manganese, and mercury. pH values ranged from 8.95 to 9.48. Mercury exceeded the reference value (0.17 mg/kg) in period 1, according to the Canadian Sediment Quality Guidelines for the Protection of Aquatic Life. This indicates that the sediments pose a potential risk to marine biota, as they exceed internationally established safety thresholds, and suggests the need to implement monitoring and environmental control measures along the coastal zone of Manabí
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".