MétaCan
Menu
Back to cohort
Record W4391956887 · doi:10.18260/1-2--36970

Development of Attachments for the Quanser Qube

2024· article· en· W4391956887 on OpenAlex
Diane Peters, Aaron-Joseph Jones

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

Venue2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsQuanser (Canada)
Fundersnot available
KeywordsComputer scienceMATLABSet (abstract data type)ServoSoftwareInverted pendulumTurbineServomotorLinkage (software)SimulationOperating systemProgramming languageMechanical engineeringEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The Quanser Qube is an integrated servomotor lab hardware platform [1], shown in Figure 1. This platform includes not only the direct-drive brushed DC motor, but also two encoders as well as the data acquisition system. One encoder is used to measure the rotation of the DC motor’s shaft itself. It is supplied with two standard items, an inertia disk and an inverted pendulum. The inertia disk is a small aluminum part, which mounts to the equipment using magnets. The inverted pendulum also mounts to the equipment with magnets, with an encoder that plugs into the equipment to provide an additional sensor input to the system. The system includes an amplifier and other necessary components in order to be controlled with either LabVIEW or with MATLAB/Simulink, with the LabVIEW control requiring the National Instruments myRIO device [1].

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.910

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.306
Teacher spread0.239 · 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