Bibliographic record
Abstract
近年来，随着国内商业健康险市场快速发展，服务于保险的第三方服务管理公司（TPA）大量涌现。但大多TPA是中小企业，难以保证服务质量和经营持续性，这与保险时间跨度长、风险管理要求高等特征不匹配。保险公司在对接诸多TPA时，还存在许多系统、体制、专业性上的问题。针对这些痛点，2010年，慕尼黑再保险（以下简称慕再）搭建了健康关爱平台（HAP），希望通过整合各类优质TPA服务商，给直保公司提供一揽子解决方案。经过10年的发展，平台现已包含30多种服务，并形成一套供应商筛选和评估标准，保证了平台服务质量，得到许多客户的认可。 但随着健康险市场同质化竞争日趋激烈、客户服务和数据等越来越重要，许多直保公司开始自建服务体系，其他再保险公司或TPA也在尝试搭建类似的服务平台。HAP原本作为慕再内部一项辅助业务，面对竞争压力以及不断提升的客户需求，其业务模式可能要发生转变。慕再人寿和健康险大中华区CEO张路群先生希望HAP能在3～5年内实现用户规模从300万到1，000万的增长，未来甚至发展为慕再的一个利润中心，但具体该如何实现他还需要进一步思考。
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".