Bibliographic record
Abstract
专注于户外专家和都市精英群体的高端户外运动品牌始越公司自进入中国市场以来虽然稳步发展，但仍然比较“小众”。考虑到直营电商增速远超大盘，始越公司计划发力直营电商使业绩有所突破。2018年，始越公司电商销售目标为5,500万，增长比例高达49%；而营销费用仍维持为337万，费比7%。而且，始越公司一直执行高客单、全价销售策略，实现这个目标显然充满挑战。 到了2018年9月，作为电商渠道负责人的周旭开始有些焦虑：前三季度，始越公司电商业绩的整体达成率仅为75%。周旭明白唯有提效，尤其是提高电商获客的效率才是唯一可行的道路。如何利用大数据技术和数字化手段持续改进电商投放策略呢？
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.050 |
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".