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Record W7132172250

Can Robots Raise Chickens?——Chia Tai Builds a Four-in-one Mode for Industrialized Chicken Raising

Xiaoming Zhu, Qiong Zhu, Yifan Ren

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCEIBS Institutional Repository · 2015
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsRaising (metalworking)RobotMode (computer interface)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

正大集团主营的农牧业,尽管自动化程度在不断提升,但是,人仍然是其中的主角。然而,在其位于北京平谷区峪口镇西樊各庄的养鸡场里,正大集团却引入了机器人养鸡,一个鸡舍由一个人和一个机器人负责。尽管人已经成为养鸡场的少数民族,但正大还计划减少人,让机器人负责更多的工作。建立这样一个机器人养鸡场,初始资金投入就需要7.2亿。为了让这个创新能够落地实施,为了让这个机器人养鸡场能健康持续地运营,正大创立了“四位一体BOT(Built-Operate-Transfer)产权式农业”模式(简称:四位一体模式)。即正大集团联合北京平谷区政府,成立了合资公司“谷大农业投融资平台”(简称“谷大”),由这个平台负责融资并进行项目建设;“谷大”找到北京银行作为主要融资来源;而项目用地是平谷当地1416户农民所成立的合作社所拥有的土地。这个项目竣工后,由正大蛋业有限公司负责经营管理。正大蛋业每年按照投资总额的10%-12%返利给投融资平台,平台再用于还贷及返还农民租金等收益。四位一体模式能正常运转的基础,是正大蛋业要盈利,这样它才能有资金返还给平台。然而,在一个鸡蛋产品缺乏公认标准、鱼龙混杂的市场上,正大蛋业能否盈利呢?为了让机器人养鸡场能够持续运营,正大还需要做什么准备呢?本案例主要讨论企业如何把控创新机遇以及如何落实科技创新的问题。

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0040.003
Science and technology studies0.0030.004
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.095
GPT teacher head0.307
Teacher spread0.212 · 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

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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