MétaCan
Menu
Back to cohort
Record W2610276790 · doi:10.18260/1-2--7681

Four Year Biomedical Engineering Design At The Milwaukee School Of Engineering

2024· article· en· W2610276790 on OpenAlexaboutno aff
Vincent R. Canino, John Gassert

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering design processQuarter (Canadian coin)LogbookSession (web analytics)Engine departmentEngineering educationEngineeringWork (physics)Engineering managementProcess (computing)Computer scienceSoftware engineeringMechanical engineeringWorld Wide Web

Abstract

fetched live from OpenAlex

A unique feature of the design process at MSOE is the Biomedical Engineering "senior design project" that begins in term two of the freshman year.Each student must apply to become a member of a particular team and most students will stay in that design team.During the next ten quarters, the students are expected to apply course material pertinent to their engineering project and present that application to their design advisor within two weeks of completion of each quarter.In the second quarter of the junior year, each team presents their final project specifications to the faculty, students and invited guests.In the spring quarter of the junior, each design team begins work on subsystem design specifications.These specifications are then refined into design specifications and a prototype during the senior year.This process culminates in a design show in which the products and design are judged.Continual and progressive assessment of a student's progress is crucial to the success of the design team.The team's faculty advisor uses clearly defined "Engineering Design Policies and Procedures," regularly scheduled meetings with the team, scheduled formal and informal oral reports, a formal feasibility study, and the students' continuous use of an engineering logbook to perform this assessment.The fourth group of students is completing this design sequence in May of 1999.The resulting senior engineering design projects have been highly successful because of the continual assessment of the teams' performance by their individual faculty advisor and the BE program faculty.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.195
Teacher spread0.183 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicBiomedical and Engineering EducationFrench-language works237,207