Analisis Awal Potensi Renewable Energy di Bawah Jembatan Aur Duri II Jambi
Bibliographic record
Abstract
The city of Jambi is dibentangi River batanghari, study on utilization of renewable electricity in particular an against water power through Streams need to be consider for perencanan Micro Hydro power plant (PLTMH). Water conditions that can be utilized as a resource (resources) electric generator has a capacity of flow and elevation of water channel system. The main problems in hydropower generation is the availability of water of the river discharge as energy for propulsion power plant. Therefore it takes a specific technique to predict the potential flow of river water on all the time or signature debit River that can be used for energy micro hydro power plant, not the onset of rain with a long time as well as the condition of watersheds (DAS) that can cause critical flow of river water into small even dried up. River discharge measurements manually at any given time can only represent the volume of discharge of the River at the time of measurement is performed. Changes that occur due to the onset of rain in the next time, or decrease in discharge of the River because the groundwater deposits shrink, can not be observed with either it needs to be planned debit kontiniu for turbine generator round capacity taking into account the capacity of electricity from generators that can be optimally raised
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".