Prototype of Improved Green Neo-Local West Sumatera Stove for Boiling Gambir (Uncaria Gambir Roxb.)
Bibliographic record
Abstract
Study of Local West Sumatera Stove performances to boil gambir in Pesisir Selatan district showed the results that heat transfer efficiency is 11.6 %, very simple in operation but short service life, indoor pollution due to smoke and burnt risk are high because of no chimney and hot flue gas temperature is still higher than 200 0C, very cheap in construction, and environmentally causes impact on local deforestation. This paper attempted to design, construct, and run a set of combustion test to NWS Stove for boiling gambir using mixture of biomass fuel of fire-wood, palm fiber and shell. It was made of river stones and consists of two main parts, namely combustion chamber with grate for biomass fuel bed and its pot and flue gas heat utilization. Water Boiling Test was conducted with the height of grate of 25 to 45 cm from the floor, natural or forced convection air underneath the grate, damper between combustion chamber and flue gas channel to the chimney was 10 to 20 cm height opened, and kinds and mixtures of biomass with any quantitative proportion. The result shows that the stove is green and saves the fire-wood fuel 70% or more. It also shows performances as follow: higher heat transfer efficiency, namely up to 18.78%; very simple in operation and long service life; gives more benefits in health and safety; needs higher capital investment but low operational cost. Additionally, temperature profiles show that adjustable grate with distance to cooking pot not more than 25 cm probably plays an important role in effective heat transfer.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".