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Record W4212765054 · doi:10.15562/ijn.v4i2.105

Aneurysmal bone cysts: Case report and literature review

2021· article· en· W4212765054 on OpenAlexaboutno aff
Loraine Quintana-Pájaro, Cristian Camilo Blanco-Teheran, Daniela López-Cepeda, Luis Rafael Moscote‐Salazar, Alfonso Pacheco-Hernández, Amit Agrawal, Harsh Deora, Alexis Rafael Narvaez‐Rojas

Bibliographic record

VenueIndonesian Journal of Neurosurgery · 2021
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemosiderinAneurysmal bone cystThighMagnetic resonance imagingRadiologyPathologyAnatomy

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 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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0110.009
Science and technology studies0.0020.004
Scholarly communication0.0030.006
Open science0.0030.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

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