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Record W2084732490 · doi:10.1109/mpot.2009.935608

Solar flair: An open-road challenge

2010· article· en· W2084732490 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEEE Potentials · 2010
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsCrowdsMileEngineeringFLAGS registerFinish lineFantasyVisual artsAdvertisingMedia studiesTelecommunicationsArchitectural engineeringRace (biology)SociologyGeographyComputer securityArtComputer scienceBusinessArtificial intelligenceGender studies

Abstract

fetched live from OpenAlex

Imagine that you've been working on a student project team for two years. You've made many friends and together you are about to finish an 11-day, 2,500-mile trek from Austin, Texas, USA, to Calgary, Alberta, Canada, on photons alone. Over those two years your team has sacrificed much to design, build, develop, and now race a solar electric-drive vehicle. The race has been grueling, but now you see people lining the road and cheering you on those final few miles. This is a student project--are these just friends and families? The deeper you get into Calgary, the bigger the crowds. Flags are hoisted and banners wave. Someone says the crowd estimate is 35,000 strong. Finally, you near Olympic Park, cross the finish line, and the massive celebration begins. You are the North American Solar Car (NASC) champions! Sound like fantasy? No, this is reality. This is open-road solar car racing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.380
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.029
GPT teacher head0.299
Teacher spread0.269 · 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