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Record W1493963828 · doi:10.4271/2002-01-2760

The University of Alberta Four-Stroke Ski-Doo MXZ-X Conversion

2002· article· en· W1493963828 on OpenAlexafffundabout
Chris Benning, Randy Petersen, M. Y. Ackerman

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2002
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsUniversity of Alberta
FundersNatural Resources CanadaUniversity of Alberta
KeywordsComputer science

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">The University of Alberta Clean Snowmobile Challenge Team used a modified 2000 Bombardier Ski-Doo MXZ-X for the 2002 Clean Snowmobile Challenge (CSC). A Suzuki GSX-R 600 engine with a custom tuned port fuel injection system and custom exhaust system weree installed to maximize power while reducing emissions and noise from the snowmobile. This design was intended to meet the objectives of the CSC2002 competition which were a 50% reduction in hydrocarbon and carbon monoxide emissions and a reduction in noise to 74 dBA at 15 m (50 ft.) and wide open throttle (WOT). The reduction in emissions was easily achieved through the use of a four stroke engine with fuel injection and exhaust catalyst. The team was unable to meet the noise reduction goal although the entry was significantly quieter than the stock control snowmobile.</div>

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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.

Study designBench or experimental
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

Citations2
Published2002
Admission routes3
Has abstractyes

Explore more

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