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Record W4393454403 · doi:10.5281/zenodo.10342992

Mile 0 Sign - Object Capture

2021· dataset· en· W4393454403 on OpenAlexaboutno aff
everypoint

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSign (mathematics)Object (grammar)MileComputer scienceGeographyCartographyArtificial intelligenceGeodesyMathematics

Abstract

fetched live from OpenAlex

Modeled using Apple's Object Capture Description from [Atlas Obscura](https://www.atlasobscura.com/places/mile-zero): > LOCATED IN PICTURESQUE BEACON HILL Park in British Columbia's capital, Mile 0 is one of the symbolic starting points of the Trans-Canada Highway on the Pacific Coast. The highway, conceived in the late 1940s and constructed between 1950 and 1971, was the longest uninterrupted highway in the world at the time of its completion. Spanning a whopping 4,860 miles (7,821 kilometers), it runs across all 10 of Canada's provinces, crossing the likes of the Rocky Mountains and the wide-open prairies of central Canada. There is no officially recognized starting point or "mile zero," St. John's, Newfoundland, also has a "mile zero" of their own, being the Atlantic end of the route. Located nearby is a statue of runner Terry Fox, who attempted to run the length of Trans-Canada Highway to raise money for cancer research, before succumbing to the disease himself at around the midpoint of his trek. Source: Objaverse 1.0 / Sketchfab

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 score0.070
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0050.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0540.107

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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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