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Record W7066328874

Hero USA/CANADA GOOGLE 18885273401 Gmail tech support number phone USA

2016· other· en· W7066328874 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2016
Typeother
Languageen
FieldNeuroscience
TopicBrain Tumor Detection and Classification
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneTelephone numberService (business)Telephone callMobile phone
DOInot available

Abstract

fetched live from OpenAlex

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number usa gmail technical support phone number us gmail support phone number gmail contact phone number gmail toll free phone number gmail password recovery reset gmail customer service phone number usa gmail technician support phone number for any issues treated not able to login and various this type of problem such as gmail help line number for the gmail supper support phone number usaDial gmail tech support number usa 1888.527.3401gmail customer care number usa, gmail help desk number usa gmail technical support phone number us gmail support phone number gmail contact phone number gmail toll free phone number gmail password recovery reset gmail customer service phone number usa gmail technician support phone number for any issues treated not able to login and various this type of problem such as gmail help line number for the gmail supper support phone number usaDial gmail tech support number usa 1888.527.3401gmail customer care number usa, gmail help desk number usa gmail 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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)0.003
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 score0.935
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9640.963

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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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
Published2016
Admission routes1
Has abstractyes

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