DINAMIKA TEMPORAL KANDUNGAN MERKURI TERLARUT, TERENDAPKAN DAN TERSUSPENSI DI PERAIRAN ESTUARI KAPUAS KECIL, KALIMANTAN BARAT
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Secara fisik, logam berat merkuri dalam perairan terdapat dalam fase terlarut, tersuspensi dan terendapkan. Konsentrasi merkuri dalam tiga fase tersebut sangat dinamis dan sangat menentukan konsentrasi logam dalam biota. Penelitian ini telah dilakukan pada April-Mei 2011 (musim peralihan I) dan September-Oktober 2011 (musim peralihan II) di Perairan Estuari Kapuas Kecil. Pengambilan sampel air dan sedimen dilakukan sebanyak 26 stasiun, 3 stasiun di sungai dan 23 stasiun di estuari. Analisis merkuri terlarut, terendapkan dan tersuspensi menggunakan CVAAS (Cold Vapor Atomic Absorption Spectrophotometer). Hasil penelitian menunjukkan bahwa kandungan merkuri terlarut, terendapkan dan tersuspensi dipengaruhi oleh musim. Kandungan merkuri terlarut dan terendapkan di perairan Estuari Kapuas Kecil pada musim peralihan I lebih rendah dibandingkan musim peralihan II sedangkan konsentrasi merkuri tersuspensi lebih besar pada musim peralihan I dibandingkan musim peralihan II. Berdasarkan pada kriteria baku mutu laut nasional menurut Kemen LH No. 51 Tahun 2004 dan CCME (Canadian Council of Ministers of The Environment), kandungan logam merkuri terlarut dan terendapkan di Perairan Estuari Kapuas Kecil umumnya relatif rendah dan masih dibawah ambang batas aman bagi kehidupan biota
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.009 |
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 it