Herniorrafia inguinal abierta: técnica de Shouldice
Bibliographic record
Abstract
The Shouldice technique is an anatomical tissue repair technique developed in Toronto during the 1950s[1] although it does not begin to publish results until the 1960s. It has been described by a multitude of authors[2]-[4], since it is a complex technique with a multitude of details that must be carried out systematically to obtain the desired results. \n \nThe low rate of recurrences of this technique makes it the gold standard of anatomical repair of the hernia, and has made it one of the most attractive procedures of inguinal hernia[5], [6]. The Toronto group, and the surgeons who perform it, support local anesthesia and sedation as an anesthetic option to this procedure. \n \nThe description of the technique can be divided into two main sections: dissection and repair. The knowledge of each step and each detail in the Shouldice technique is essential to achieve the excellent results published.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".