Profiles of Independent-Comorbidity Groups in Senior COVID-19 Patients Reveal Low Fatality Associated with Standard Care and Low-Dose Hydroxychloroquine over Antivirals [Response to Letter]
Bibliographic record
Abstract
Kamaleldin B Said,1,2 Ahmed Alsolami,3 Fayez Saud Alreshidi,4 Anas Fathuddin,5 Fawwaz Alshammari,6 Fauwaz Alrashid,7 Ahmed Aljadani,3 Rana Aboras,4 Fatmah Alreshidi,4 Mohammed H Alghozwi,1 Suliman F Alshammari,1 Nawaf F Alharbi1 1Department of Pathology and Microbiology, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia; 2Genomics, Bioinformatics and Systems Biology, Carleton University, Ottawa, ON, K1S 5B6, Canada; 3Department of Internal Medicine, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia; 4Deparmtent of Family, Community Medicine, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia; 5Department of Plastic Surgery, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia; 6Department of Dermatology, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia; 7Department of Surgery, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi ArabiaCorrespondence: Kamaleldin B Said, Department of Pathology and Microbiology, College of Medicine, University of Ha’il, Ha’il, 55476, Saudi Arabia, Tel +966500771459, Email kbs.mohamed@uoh.edu.sa
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".