Bibliographic record
Abstract
Sungai Martapura merupakan Sungai yang melintasi Kabupaten Banjar dan Kota Banjarmasin yang termasuk dalam DAS. Sungai ini bermuara ke Sungai Barito yang bagian hulunya merupakan persimpangan antara Sungai Riam Kiwa dan Sungai Riam Kanan. Sub DAS E merupakan bagian dari Sub DAS Martapura. Neraca air merupakan analisis hasil pendekatan terhadap nilai-nilai proses hidrologi yang terjadi di lapangan. Metode Neraca Air (Water Balance) membandingkan antara ketersediaan air dengan kebutuhan air yang ada. Tujuan dari penelitian ini adalah tersedianya perhitungan neraca air yang dapat dijadikan dasar untuk menghasilkan konsep alokasi air dalam bentuk rencana penyediaan air tahunan. Analisa ketersediaan air didasarkan pada perhitungan debit aliran dasar hasil perhitungan FJ Mock. Didapatkan hasil perhitungan Neraca Air pada debit tahun kering (80%) mengalami surplus.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".