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Record W4213171582 · doi:10.15562/ijn.v4i1.142

The Indonesian Central Nervous System Tumors Registry (Ina-CTR) : 7 years result from single institution of primary brain tumor epidemiology

2021· article· en· W4213171582 on OpenAlexaboutno aff
Joni Wahyuhadi, Muhammad Fakhri Raiyan Pratama, Roidah Taqiyya Zahra Wathoni, Hari Basuki

Bibliographic record

VenueIndonesian Journal of Neurosurgery · 2021
Typearticle
Languageen
FieldNeuroscience
TopicBrain Tumor Detection and Classification
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHistopathologyMeningiomaCraniopharyngiomaGerm cell tumorsNeurosurgeryEpidemiologyGliomaBrain tumorCancer registryPathologyAstrocytomaIncidence (geometry)OligodendrogliomaSurgery

Abstract

fetched live from OpenAlex

DiscoverSys is a Canadian based Pharmaceutical and Biomedical Research Consulting Company having its corporate office in Edmonton. eJournals, a not-for-profit venture and the scholarly publishing services of DiscoverSys, uses the Open Journal Systems (OJS

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.048
GPT teacher head0.252
Teacher spread0.204 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2021
Admission routes1
Has abstractyes

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