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Record W6930482343 · doi:10.5281/zenodo.13374767

ANNOUNCEMENT Federal University of Technology, Owerri (FUTO) 2024/2025 JUPEB Form, IJMB Form, Sandwich Form are on sales! Call the registrar +2349063223614 TO APPLY AND FURTHER ADMISSION GUIDELINES BEFORE THE CLOSING DATE. CALL 09063223614 Generally, all Admitted Candidate Should Also Call Admin Office On +23409063223614 For Method Of Making School Payments (Acceptance Fee And Tuition Fee) (09063223614 )

2024· dataset· en· W6930482343 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typedataset
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsClosing (real estate)PaymentListed companyGovernment (linguistics)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

ANNOUNCEMENT Federal University of Technology, Owerri (FUTO) 2024/2025 JUPEB Form, IJMB Form, Sandwich Form are on sales! Call the registrar +2349063223614 TO APPLY AND FURTHER ADMISSION GUIDELINES BEFORE THE CLOSING DATE. CALL 09063223614 Generally, all Admitted Candidate Should Also Call Admin Office On +23409063223614 For Method Of Making School Payments (Acceptance Fee And Tuition Fee) (09063223614 )

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)0.005
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: none
Teacher disagreement score0.829
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1710.354

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 head0.052
GPT teacher head0.328
Teacher spread0.276 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicClick Chemistry and ApplicationsFrench-language works237,207