MétaCan
Menu
Back to cohort
Record W7099430323

Design conference

2002· article· en· W7099430323 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)CapstoneCompetence (human resources)Scope (computer science)EXPOSECurriculum
DOInot available

Abstract

fetched live from OpenAlex

Completed implementation Spring quarter, junior year Fall, 3rd week of quarter Fall, 10th week of quarter Winter, 3rd week of quarter Winter, 4th week of quarter Winter, 10th week of quarter Spring, 1st week of May Spring, 10th week of quarter Spring, 10th week of quarter The Senior Design Project is intended to be a capstone experience that draws on the previous three years of course work. As such, the project should be sufficient in scope and technical content to demonstrate students ’ technical competence developed during their careers at Santa Clara University. Announcements are made at the beginning of the fourth week of classes regarding the design project for the following year. Students are responsible for finding a project advisor in time to register for COEN 194. Students are encouraged to talk to faculty about potential topics for senior design projects well in advance of the registration deadline. These may be ideas that the students have, or projects suggested by faculty members. Interdisciplinary projects are encouraged; students should contact potential co-advisors early. When agreement is reached about a project, students will be given permission to register for COEN 194 with the faculty member. It is highly recommended that the project be documented at this time with at least a brief vision statement that captures the stakeholders ’ understanding of the project. We emphasize that the advisor’s role is to advise, not just grade or sign documents. Students should consult regularly with their advisor, well in advance of deadlines, to get advice and feedback about the content and quality of deliverables.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.268
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0080.003
Open science0.0030.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7320.516

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 head0.044
GPT teacher head0.191
Teacher spread0.148 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicInertial Sensor and NavigationFrench-language works237,207