Development of an automated sampling and measurement equipment to determine the greenhouse gas methane on the waterair surface of urban canals
Bibliographic record
Abstract
Methane (CH4) emission from the aquatic environment is considered as one of the sources of greenhouse gas contributes significantly important to the global warming. For measuring continuously the methane emission from the water-atmospheric interface an automatic sampling and measurement system using floating chamber integrated methane sensor (Automated Floating Chamber integrated Methane Sensor - AFCMS) has been fabricated including the control and PIC datalogger boards with a lower cost than a commercial product. The floating chamber integrated a methane sensor (Panterra, Neodym Technologies, Canada) which works well not only on the quiet water surface but even on the oscillated one. The sensor (coded 1501-1) has a low LOD = 0.45 ppm and a good linearity (R2 = 0.9947) of methane concentration ranging from 2 to 30 ppm. AFCMS system shows a good performance of the equipment deployment for sampling and measuring the methane emissed from the urban canals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 0.000 |
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".