High resolution computed tomography signs lead an early diagnosis of COVID-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: The novel coronavirus disease 2019 (COVID-19) has huge impact on public health. RT-PCR of respiratory samples is generally accepted confirmatory test which can miss several cases due to various factors. Case description: A 32-years-old male without any co-morbidity presented with complaints of cough and fever was negative for Reverse Transcription Polymerase Chain Reaction (RT-PCR) on two separate occasions on two different centres died and the last sample sent on 30th day of admission tested positive for RT-PCR. Radiologist reported the CT Chest signs as highly likely case of COVID-19 on the day of admission. Clinical significance: Radiological signs on CT chest can contribute in the diagnostic workup of CIVID-19. Conclusion: Radiological signs reported in suspected COVID-19 should be noticed and given adequate weightage in conditions where the other laboratory tests are negative.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it