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Record W7034807930

3-wheeled electric car could hit streets soon

2016· other· en· W7034807930 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2016
Typeother
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsBackupCrashFront (military)Rollover (web design)Track (disk drive)
DOInot available

Abstract

fetched live from OpenAlex

Electra Meccanica Vehicles Corp. of Vancouver, British Columbia, officially unveiled the one-seat Solo on Friday. The Solo could go on sale as early as November pending approval by U.S. and Canadian regulators. It costs around $15,500. What has 3 wheels and runs on electricity? - A new car that could be on the road later this year in the U.S. and Canada.Vancouver-based company Electra Meccanica Vehicles Corp. says the one-seat Solo could go on sale as early as November...But the company's waiting on approval from U.S. and Canadian regulators.The retail cost will be about 15,500 dollars.The Solo has two front wheels and one rear wheel and is 10 feet long...a little over a foot longer than a Smart car.Electra Meccanica sees the car as ideal for 'low-speed' commutes.Safety features include a backup camera and chrome-alloy tubes for crash protection.The Solo's body is made from the same lightweight aluminum found on the floor of a Boeing 787.Lithium-ion batteries power the car...it can drive 100 miles on one charge.Inside the car is a digital display, Bluetooth connectivity, power windows and keyless entry.Air conditioning costs extra.So far, at least 200 people have put down a refundable deposit to get the car in Canada....meanwhile, the company's reviewing 35 applications to open dealerships worldwide.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.507
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0040.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5070.353

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 head0.015
GPT teacher head0.279
Teacher spread0.265 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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