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％。
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".