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Record W4393873395 · doi:10.5281/zenodo.10366884

Aster-72 telephone

2021· dataset· en· W4393873395 on OpenAlexaboutno aff
mitkrakow

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAdvanced Spaceborne Thermal Emission and Reflection RadiometerGeographyRemote sensing

Abstract

fetched live from OpenAlex

In 70s Radomska Wytwornia Telefonów this entailed the launch of a new, highly successful family of telephones named after flowers, of which the Aster-72 was one example. The Aster-72 was an office telephone, intended to work with manual or automatic CB telephone exchanges with a classic electrical design, mechanical bell, and the French TN-74 rotary dial for which a licence was purchased. The Aster-72 was also manufactured in export versions. The most interesting models were sent to the French, Canadian and American markets, although the telephone was most successful on the highly absorbent Eastern markets. In 1973-1985, the device was manufactured at the RWT and production was then moved to Telkom-Telcz, where the Asters continued being manufactured until the early 1990s. The Aster-72 presented here is in a very rare colour. Usually, models can be found in grey, ivory, orange, or red versions. Manufacturer: RWT, Radom, 1976 Inv.No. MIM 601/VIII-19 Model prepared on the basis of photogrammetric measurements 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)0.000
metaresearch head score (Gemma)0.002
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 score0.083
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0830.205

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 head0.036
GPT teacher head0.245
Teacher spread0.209 · 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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicBluetooth and Wireless Communication TechnologiesFrench-language works237,207