STUDY OF HOMOSINIZATION TIME OF MIXING IN HIGH SLUDGE CONCENTRATED ANAEROBIC DIGESTER
Bibliographic record
Abstract
高濃度嫌気性消化槽において攪拌機の混合性能を定量的に評価できるようにするため，嫌気性消化汚泥のレオロジー特性を記述するための擬塑性流体モデルを組み込んだCFDモデルと槽内の均一化の度合いを定量化するためのパラメーター（UI）を用いて，ドラフトチューブ式機械攪拌の実規模嫌気性消化槽の混合を検討した．トレーサーの均一化の進捗はUIによって定量化され，槽内に形成される渦の大きさによって左右される低速度域の大きさが均一化時間に影響した．本検討の範囲においては汚泥濃度（X）と均一化時間-汚泥循環時間比（TH/TR）の間には直線関係が認められた．
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.
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 | 0.001 |
| Open science | 0.000 | 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".