Bibliographic record
Abstract
2018年，元隆雅图成功成为2022年北京冬奥会的特许生产商和零售商，获得三个热门品类的生产资质。元隆雅图作为国内礼赠品行业的龙头企业，具备强大的设计、供应链和渠道资源。此外，在收购谦玛网络之后，公司还具备了提供多媒体营销服务的能力。2021年年底，随着冬奥会开幕的渐渐临近，元隆雅图董事长孙震感受到了一些压力。自冬奥吉祥物发布以来，市场的反馈一直不温不火。冬奥会开幕正值春节假期，有很多工人回家过年。元隆雅图需要在假期之前做好最后一次生产规划，但市场的需求是不确定的。 如果开幕后市场需求暴增，元隆雅图的产能没有跟上就会错过创造“爆款”的机会。如果开幕后市场依旧冷淡，就有可能带来一定的库存压力。元隆雅图是否应该追加投入？应该如何制定营销计划？又应该如何管理“爆款”项目执行中的风险，实现收益最大化呢？
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".