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Record W6893031499 · doi:10.5281/zenodo.12575719

British Canadian University, Obudu, Cross River State 2024/2025 JUPEB/IJMB Form Is Out Call 09125210477 DR. Judith A.A ON 09125210477 For More Details On How To Apply And Register On Line.Also 2024 Direct Entry Form,Part Time Form,Master's Form{MSc.},Doctor Of Philosophy {Ph.D},POST GRADUATE FORM{PGD} E.t.c Call Dr. Judith On 09125210477 for more information on how to apply and form processing. (07044935866).Also Direct Entry Form, masters form, P.H.D Form, Sandwich Form, Diploma Form, Transfer form, Change of School Form For 2024/2025 Session, FOR GUIDELINES AND ADMISSION ASSISTANCE CALL THE SCHOOL ADMIN ON @ 0704_4935866. +23470-4493-5866

2024· article· en· W6893031499 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsRegister (sociolinguistics)State (computer science)Transfer (computing)Call centre

Abstract

fetched live from OpenAlex

British Canadian University, Obudu, Cross River State 2024/2025 JUPEB/IJMB Form Is Out Call 09125210477 DR. Judith A.A ON 09125210477 For More Details On How To Apply And Register On Line.Also 2024 Direct Entry Form,Part Time Form,Master's Form{MSc.},Doctor Of Philosophy {Ph.D},POST GRADUATE FORM{PGD} E.t.c Call Dr. Judith On 09125210477 for more information on how to apply and form processing. (07044935866).Also Direct Entry Form, masters form, P.H.D Form, Sandwich Form, Diploma Form, Transfer form, Change of School Form For 2024/2025 Session, FOR GUIDELINES AND ADMISSION ASSISTANCE CALL THE SCHOOL ADMIN ON @ 0704_4935866. +23470-4493-5866

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.413
Threshold uncertainty score0.821

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0090.001
Scholarly communication0.0080.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9130.817

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 head0.045
GPT teacher head0.269
Teacher spread0.223 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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 topicAnatomy and Medical TechnologyFrench-language works237,207