Tinjauan Perencanaan Spillway Bendungan Karalloe di Kabupaten Gowa
Bibliographic record
Abstract
Penelitian ini membahas tentang tinjauan perencanaan Spillway pada proyek Bendungan Karalloe. Spillway tersebut berfungsi untuk mengalirkan air yang berlebihan dari bendungan agar tidak terjadi overtopping pada bendungan kembali ke sungai. Digunakan tiga metode dalam perhitungan analisa curah hujan yaitu Metode Gumbel, Log Pearson Tipe III, dan Log Normal. Debit banjir rancangan dianalisis menggunakan Metode Hidrograf Satuan Sintesis Gama-I. Perencanaan Spillway direncanakan berdasarkan perbedaan debit banjir rancangan dan tipe mercu Spillway. Hasil penelitian ini didapatkan debit banjir rancangan sebesar 613,251 m3/det dan tinggi energi di atas mercu sebesar 2,902 m dengan menggunakan tipe mercu bulat.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.005 |
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".