Bibliographic record
Abstract
在不同照射时间、pH和溶解氧浓度下，研究了从加拿大魁北克省Rimouski河提取的黄腐酸（RRFA）在模拟太阳光照射过程中对苯并（α）芘结合性质的影响。结果表明，RRFA经模拟太阳光照射后，其与苯并（α）芘的结合系数K0c下降。光化过程中RRFA的相对分子质量或SUVA270与‰。之间有良好的指数回归关系。在pH4．1～8．0范围内，以光照后的pH条件下测定照射样品的K0c，K0c平均下降47．4％±17．4％；以光照前的pH条件下测定照射样品的K0c，K0c平均下降48．7％±16．9％。溶解氧浓度的升高能加速RRFA的光氧化降解过程，与相应的未照射样品相比，空气饱和与氧气饱和条件下照射后的K0c分别下降30％和74％，氮气饱和条件下照射后的K0c升高122％。
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 0.011 |
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; both teacher heads agree on what is shown here.
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".