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Record W4392637524 · doi:10.1007/979-8-8688-0199-0_18

CAN Bus

2024· book-chapter· en· W4392637524 on OpenAlexaff
Warren Gay

Bibliographic record

VenueMaker Innovations Series · 2024
Typebook-chapter
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsCanadian Sleep Society
Fundersnot available
KeywordsCAN busAutomotive industryProtocol (science)Cable harnessEngineeringComputer scienceAutomotive engineeringComputer networkTelecommunications

Abstract

fetched live from OpenAlex

The development of the CAN bus (controller area network) began in 1983 at Robert Bosch GmbH as a way to standardize communications between components. Prior to this, automotive ECUs (engine control units) each had their own proprietary systems, which required a lot of point-to-point wiring. In 1986, Bosch released the developed CAN protocol at the SAE Congress (Society of Automotive Engineers) ( www.csselectronics.com/screen/page/simple-intro-to-can-bus/language/en ). In 1991, the CAN 2.0 protocol was published by Bosch and was adopted in 1993 as the international standard (ISO 11898). Since then, automobiles have used the protocol for communication and to reduce wiring harness sizes by use of the bus.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.220
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2200.188

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 head0.013
GPT teacher head0.203
Teacher spread0.191 · 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
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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