INVESTIGATION OF CO<sub>2</sub> ABSORPTION PERFORMANCE IN A GAS-LIQUID TWO-PHASE FLOW ATOMIZER ON THE BASIS OF A GAS DIFFUSION MODEL
Bibliographic record
Abstract
Experimental and analytical studies of CO 2 absorption performance are carried out in a gas-liquid two-phase flow atomizer on the basis of a gas diffusion model. The gas-liquid two-phase flow atomizer with high spray efficiency and low power consumption has been applied to CO 2 absorption. Experiments for the CO 2 absorption were conducted in an isolated room and the results showed that, the mist sprayed by the improved atomizer can effectively reduce the CO 2 concentration. Furthermore, a CO 2 diffusion model was developed to predict the absorption process. This model was validated through a comparison between calculation and experiment. Comparison results showed that the proposed model could predict the time-variations of CO 2 concentration well in the test room.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".