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Record W2411492019 · doi:10.5114/wo.2015.52661

Paratesticular rhabdomyosarcoma of a young adult

2015· article· pl· W2411492019 on OpenAlexaboutno aff
Gorana Matovina-Brko, Borislava Nikolin, Lazar Popović, Zoran Nikin, Svetlana Popović-Petrović, Darjana Jovanovic

Bibliographic record

VenueWspółczesna Onkologia · 2015
Typearticle
Languagepl
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsRhabdomyosarcomaMedicineSarcomaPathology

Abstract

fetched live from OpenAlex

AMA Matovina-Brko G, Nikolin B, Popovic L, Nikin Z, Popovic-Petrovic S, Jovanovic D. Paratesticular rhabdomyosarcoma of a young adult. Contemporary Oncology/Współczesna Onkologia. 2015;19(3):252-256. doi:10.5114/wo.2015.52661. APA Matovina-Brko, G., Nikolin, B., Popovic, L., Nikin, Z., Popovic-Petrovic, S., & Jovanovic, D. (2015). Paratesticular rhabdomyosarcoma of a young adult. Contemporary Oncology/Współczesna Onkologia, 19(3), 252-256. https://doi.org/10.5114/wo.2015.52661 Chicago Matovina-Brko, Gorana, Borislava Nikolin, Lazar Popovic, Zoran Nikin, Svetlana Popovic-Petrovic, and Darjana Jovanovic. 2015. "Paratesticular rhabdomyosarcoma of a young adult". Contemporary Oncology/Współczesna Onkologia 19 (3): 252-256. doi:10.5114/wo.2015.52661. Harvard Matovina-Brko, G., Nikolin, B., Popovic, L., Nikin, Z., Popovic-Petrovic, S., and Jovanovic, D. (2015). Paratesticular rhabdomyosarcoma of a young adult. Contemporary Oncology/Współczesna Onkologia, 19(3), pp.252-256. https://doi.org/10.5114/wo.2015.52661 MLA Matovina-Brko, Gorana et al. "Paratesticular rhabdomyosarcoma of a young adult." Contemporary Oncology/Współczesna Onkologia, vol. 19, no. 3, 2015, pp. 252-256. doi:10.5114/wo.2015.52661. Vancouver Matovina-Brko G, Nikolin B, Popovic L, Nikin Z, Popovic-Petrovic S, Jovanovic D. Paratesticular rhabdomyosarcoma of a young adult. Contemporary Oncology/Współczesna Onkologia. 2015;19(3):252-256. doi:10.5114/wo.2015.52661.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.296
Teacher spread0.252 · 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.

Study designObservational
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
Published2015
Admission routes1
Has abstractyes

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