MétaCan
Menu
Back to cohort
Record W7132577254

零售供应链数字化创新

2022· book· W7132577254 on OpenAlexaff
Xiande 赵先德

Bibliographic record

VenueCEIBS Institutional Repository · 2022
Typebook
Language
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsCentre for Excellence in Mining Innovation
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

本书以供应链视角审视零售行业的变革,剖析传统零售供应链的问题与挑战;提出数字时代对供应链管理能力的新要求,讨论如何通过数字技术和大数据分析进行供应链的优化与创新,以及如何通过流程再造来设计和实施全渠道供应链;通过案例演示如何通过消费互联网与工业互联网融合,形成消费者与制造商直接链接的C2M模式。 本书还描述了在新冠肺炎疫情冲击下零售供应链的挑战及一些企业的创新实践,并提出3R供应链的概念及打造3R供应链的建议。

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.011
Scholarly communication0.0150.012
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.005

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.

Opus teacher head0.009
GPT teacher head0.196
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCEIBS Institutional RepositorySame topicMilitary Technology and StrategiesFrench-language works237,207