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Record W2746937925

Customize sneaker for promoting brand (principle footwear) / Ahmad Harith Ibrahim

2015· article· en· W2746937925 on OpenAlexaboutno aff
Ahmad Harith Ibrahim

Bibliographic record

VenueUiTM Institutional Repositories (Universiti Teknologi MARA) · 2015
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsCasualAdvertisingEnglish languagePsychologyPolitical scienceMathematics educationBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

Athletic shoe is a generic name for the footwear primarily designed for sports or other forms of physical exercise, but in recent years has come to be used for casual everyday activities. Athletic shoes are also known as training shoes or trainers (British English), sandshoes, gym boots or joggers (Australian English and Geordie English in the UK), running shoes, runners or gutties (Canadian English, Australian English, and Hiberno-English), sneakers (North American English and New Zealand English), tennis shoes (North American English and Australian English), gym shoes, tennies, sports shoes, sneaks, tackies (South African English and Hiberno-English), rubber shoes (Philippine English) or canvers (Nigerian English).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.106
GPT teacher head0.423
Teacher spread0.317 · 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 designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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