Risk following a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) exposure from a nocturnal hemodialysis patient utilizing continuous positive airway pressure (CPAP)
Bibliographic record
Abstract
brainstorming from decision points.As a listener, it is important to ask for clarity when it is unclear whether a decision was made. 5. Kindness is vital.Recognize where people are coming from, and respond kindly, even if you do not agree.Everyone showing up is present because they care and are willing to chip in.We must be kind to each other and build together.6. Disagreement is an opportunity.Many times disagreement ultimately leads to better plans.It may take time and patience to revisit decisions and consider different angles.However, these discussions typically lead to a better plan, or an improved communication of the same plan.7. Be honest about uncertainty.This is a lesson learned during clinical training-that one should not pretend to know the answer when one does not know.Sometimes communicating uncertainty is extremely difficult but it is important to distinguish opinions from facts.8. Fatigue is real.Physical or emotional.We are all human.It is necessary to self-recognize and protect one's own health, especially when others are counting on you.When we are so tired we cannot think clearly, or so drained we cannot be kind, we are no longer effective leaders, colleagues, parents or partners.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".