PENENTUAN INDEKS BAHAYA KEKERINGAN AGRO-HIDROLOGI: STUDI KASUS WILAYAH SUNGAI KARIANGO SULAWESI SELATAN
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
Kekeringan agro-hidrologi dapat diartikan sebagai kekurangan air permukaan, air tanah dan mencukupi untuk tanaman dan kebutuhan masyarakat untuk jangka waktu tertentu. Sejauh ini belum ada indeks kekerigan agro-hidrologi yang menggabungkan faktor iklim, air permukaan, dan air bawah permukaan tanah. Penelitian ini merumuskan sebuah indeks bahaya kekeringan (Ibk) sebagai indikator kekeringan agro-hidrologi. Model yang dikembangkan dari kombinasi curah hujan musim kering, kedalaman air tanah, jarak sumber air, tekstur tanah dan indeks ketersediaan air bagi tanaman dengan menggunakan metode penginderaan jauh dan GIS. Indeks bahaya kekeringan agro-hidrologi yang telah dikembangkan adalah Ibk= (0.33CH) + (0.27KAT) + (0.20SA) + (0.13T) + (0.0WSVI) dengan hasil validasi model menunjukkan kemiripan yang tinggi kekeringan di lapangan.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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