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Record W6893832990 · doi:10.5281/zenodo.4717457

@ (( +27732448851 )) LOVE SPELL CASTER @ HERBALIST HEALER FOR ALL PROBLEMS USA, HONG KONG, EUROPE, SOUTH AFRICA, CANADA, UK

2021· article· en· W6893832990 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsSpellCheatingReputationPanacea (medicine)MistakeWork (physics)

Abstract

fetched live from OpenAlex

ARE YOU DISAPPOINTED IN YOUR LIFE AND YOU HAVE TRIED LEFT AND RIGHT WITH OUT SUCCESS HERE IS YOUR HELP call / whatsapp +27732448851 has got a good reputation from all over Africa and for so many years , And here are some of his work email: profkato001@gmail.com Visit REPLY ME WITH YOU FULL CONTACTS (EMAIL AND TELL NUMBER ) YOU WILL BE HELPED . \n\nLOVE SPELL/ MONEY SPELL \n* Bring back lost lover even if lost for so long time, in 2 days, by use of his spell caster method of 2 way system this can be done physically by use of his spell cast burn herbal tubes , or though verbal system , i have seen people come to me they are crying and go back when they are happy, Is He or She cheating on you, you want to stop it ? , for only 5 days treatment and you are done with that.\nLOVE PROTECTION SPELL\n*stop cheating in your relationships now with a spell of love protection , it takes 24hours to start it work , even if you what to find out that if he or she is doing so I can help you find out , my powers be lives in truth and happiness of people call now. \nBEAUTY SPELL call / whatsapp +27732448851 email: profkato001@gmail.com\n\n

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.006

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 head0.044
GPT teacher head0.226
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicEducational Robotics and EngineeringFrench-language works237,207