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Record W3189222732 · doi:10.5114/kitp.2021.107477

Upper limb pain due to cervical hydatid cyst

2021· article· en· W3189222732 on OpenAlexaboutno aff
Reza Rezaei, Navid Soroush, Kazem Rezaee, Vahid Zehi

Bibliographic record

VenuePolish Journal of Cardio-Thoracic Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsnot available
Fundersnot available
KeywordsHydatid cystMedicineCystSurgeryLower limb

Abstract

fetched live from OpenAlex

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Rezaei R, Soroush N, Rezaee K, Zehi V. Upper limb pain due to cervical hydatid cyst. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery. 2021;18(2):121-123. doi:10.5114/kitp.2021.107477. APA Rezaei, R., Soroush, N., Rezaee, K., & Zehi, V. (2021). Upper limb pain due to cervical hydatid cyst. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, 18(2), 121-123. https://doi.org/10.5114/kitp.2021.107477 Chicago Rezaei, Reza, Navid Soroush, Kazem Rezaee, and Vahid Zehi. 2021. "Upper limb pain due to cervical hydatid cyst". Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery 18 (2): 121-123. doi:10.5114/kitp.2021.107477. Harvard Rezaei, R., Soroush, N., Rezaee, K., and Zehi, V. (2021). Upper limb pain due to cervical hydatid cyst. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, 18(2), pp.121-123. https://doi.org/10.5114/kitp.2021.107477 MLA Rezaei, Reza et al. "Upper limb pain due to cervical hydatid cyst." Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, vol. 18, no. 2, 2021, pp. 121-123. doi:10.5114/kitp.2021.107477. Vancouver Rezaei R, Soroush N, Rezaee K, Zehi V. Upper limb pain due to cervical hydatid cyst. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery. 2021;18(2):121-123. doi:10.5114/kitp.2021.107477.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.336
Teacher spread0.299 · 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 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 venuePolish Journal of Cardio-Thoracic SurgerySame topicParasitic infections in humans and animalsFrench-language works237,207