The Value of Pre-Operative Testing for COVID-19 in Urological Patients
Bibliographic record
Abstract
According to the World Health Organisation there have been 30,055,710 confirmed COVID-19 cases and 933,433 confirmed deaths across 216 countries globally. The availability of the complete SARS-CoV-2 genome relatively early in the epidemic has enabled the development of tests for the diagnosis of COVID-19. There are two broad categories of SARS-CoV-2 diagnostic tests currently in use or development: (1) Real-time reverse transcriptase polymerase chain reaction (RT-PCR) tests and (2) serology tests. RT-PCR is considered the gold standard and preferred method of diagnosis of acute infection. There is, however, a plethora of laboratory-developed and commercial RT-PCR assays with different gene targets. We discuss the value of pre-operative testing for COVID-19 before urological surgery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".