Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
二恶英是世界上毒性最大的持久性有机污染物之一，它们可以沿食物网富集放大，对人类健康造成严重危害。建立二恶英排放清单是制定减排战略的关键步骤，也是模拟研究二恶英环境行为和健康风险评估的基础数据。本研究首先基于斯德哥尔摩公约中已发布66个国家二恶英排放量，结合主成分分析法确定影响二恶英排放的主要经济活动因子，构建二恶英排放回归模型；然后基于此模型，估算全球196个国家2002-2012年的二恶英大气排放量，并基于人口密度构建全球网格化二恶英大气排放清单（1°×1°）；利用CanMETOP（Canadian Model for Environmental Transport of Organochlorine Pesticides）模拟二恶英环境归趋行为过程及在各环境介质中的浓度水平。并将模拟的大气浓度与实际观测数据进行比较，以验证排放清单。结果表明，2002-2012年期间，全球二恶英的排放量呈现下降趋势。从空间上看，二恶英排放主要集中在亚洲、非洲和欧洲，其中2012年排放量前五位的是中国（3120 g TEQ）、印度（2583 g TEQ）、肯尼亚（2754 g TEQ）、尼日利亚（2115 g TEQ）、日本（2057 g TEQ）。网格化排放清单结果显示，二恶英在人口密集的中国东南沿海、印度北部、西欧和尼日利亚中部地区排放量较高。二恶英环境模拟结果表明其主要集中在气相，且模拟值和观测值之间显著相关，验证了本研究编制的全球二恶英网格化排放清单的准确性和可靠性。
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.043 |
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 it