Esophageal foreign body removal by thoracotomyin a patient with aberrant right subclavian artery
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Hoon Bae C, Woo Cho J. Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery. 2020;17(4):212-213. doi:10.5114/kitp.2020.102334. APA Hoon Bae, C., & Woo Cho, J. (2020). Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, 17(4), 212-213. https://doi.org/10.5114/kitp.2020.102334 Chicago Hoon Bae, Chi, and Jun Woo Cho. 2020. "Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery". Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery 17 (4): 212-213. doi:10.5114/kitp.2020.102334. Harvard Hoon Bae, C., and Woo Cho, J. (2020). Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, 17(4), pp.212-213. https://doi.org/10.5114/kitp.2020.102334 MLA Hoon Bae, Chi et al. "Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery." Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery, vol. 17, no. 4, 2020, pp. 212-213. doi:10.5114/kitp.2020.102334. Vancouver Hoon Bae C, Woo Cho J. Esophageal foreign body removal by thoracotomy in a patient with aberrant right subclavian artery. Kardiochirurgia i Torakochirurgia Polska/Polish Journal of Thoracic and Cardiovascular Surgery. 2020;17(4):212-213. doi:10.5114/kitp.2020.102334.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".