EVALUASI KINERJA SALURAN IRIGASI DAN BANGUNAN DISTRIBUSI PADA DAERAH IRIGASI AIR NAKAI BATU ROTO BENGKULU UTARA
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
This study intends to analyze the dimensions of the channel, subdivision, and tapping infrastructure. The mainstay discharge was analyzed using the Mock method, the analysis of irrigation water needs was based on Irrigation Planning Standard KP-01, and recalculation of the dimensions of the channel, building for, and tapping building based on the existing discharge and the planned discharge in accordance with Irrigation Planning Standard KP- 03. Rainfall data were analyzed using the algebraic average method. The findings indicated that the highest primary discharge, which occurred in November period I, was 9.21 m3/s. The highest amount of clean water needed in the fields per day (NFR) was 7.55 mm, while the maximum amount of water needed for intake per second (DR) was 1.34 l/sec. The bottom width of the channel (b) is 2.26 m according to the findings of recalculating the BNa 1 primary channel's dimensions using the current discharge. Na.2Ki.A secondary channel measured 0.48 meters for channel bottom width (b). The bottom width of the channel (b) was determined to be 0.601 m as a consequence of recalculating the BNa 1 primary channel's dimensions using the intended discharge. Na.2Ki.A secondary channel measured 0.44 meters for channel bottom width (b). The measurements of the width of the buildings door (b) after being recalculated and tapped based on the current discharge are larger than those of the door's existing dimensions. Keywords: Water Discharge, Irrigation Channels Area, Distribution Building
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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