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Record W6944535213 · doi:10.21227/7gm9-mt95

Phantom Premium 1.5A Haptic Device

2022· dataset· en· W6944535213 on OpenAlexaff

Bibliographic record

VenueIEEE DataPort · 2022
Typedataset
Languageen
FieldEnvironmental Science
TopicRemote Sensing and LiDAR Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImaging phantomTask (project management)Set (abstract data type)Haptic technologyTracking (education)TrajectoryLine (geometry)

Abstract

fetched live from OpenAlex

This is a data set resulting from the collaboration of the user and Phantom Premium $1.5$A Haptic Device, Geomagic Inc. Five right-handed users performed the task of tracking squiggly line in 6 trials. Since there is a significant difference between the performance of the trials done by the dominant hand and with ones performed by the non-dominant hand, we consider trajectories of the dominant hand of the users as expert data and trajectories coming from the other hand as novice data. This assumption is due to the fact that our dominant hand is fully trained to skillfully perform elaborate motions with low hand tremor and high precision compared to the non-dominant hand. We are not arguing that the differences between the left and right hand exactly correspond to the differences between the skills level of novices and experts, we are trying to create two conditions that are different in the performance level to test our approach on.

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)0.003
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.021
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0180.040

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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
GenreDataset

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

Citations1
Published2022
Admission routes1
Has abstractyes

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