Bibliographic record
Abstract
近日,加拿大萨斯喀彻温钾肥公司（Potash Corporation of Saskatchewan Inc.,以下简称＂萨钾＂）公布二季度盈利报告,报告显示：第二季度结束后,萨钾的钾肥跟氮肥的业绩相当突出。其中,二季度营业额为7.88亿美元,其中1-6月的营业额为13亿美元。第三季度的股价预计每股为0.35-0.45美元,2014全年的平均股价将会提升到1.70-1.9美元。第二季度每股收益0.56美元,使2014年上半年每股收益达到0.95美元,虽然今年的每股收益呈上涨趋势,可还是低于去年同期的数值。2014年第二季度毛利润总计为7.47亿美元,相比去年同期的9.79亿美元来说,下降幅度较大。下降的这部分,主要体现在公司的钾肥跟磷肥部门的运营方面,一个是价格的下降,二是需求不均衡。萨钾2014年1-6月毛利润共计13亿美元,去年同期为18亿美元。
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.016 |
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".