Bibliographic record
Abstract
制备了不同焙烧温度的Al2O3-TiO2载体，采用浸渍法得到相应的Pt／Al2O3-TiO2催化剂，采用BET，XRD，TPR，TEM及氢氧滴定等方法对所制备的催化剂进行表征，以重整抽余油为原料进行烯烃和芳烃加氢活性评价。结果表明：用于重整抽余油加氢的Pt／Al2O3-TiO2催化剂的优化制备条件为载体焙烧温度900℃、催化剂焙烧温度350℃、催化剂还原温度200℃；该催化剂的加氢活性随着反应温度的升高而提高；在反应温度200℃、反应压力3．0MPa、氢油体积比200：1、体积空速2．Oh^-1的条件下，重整抽余油的烯烃和芳烃转化率均达到100％。
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".