Upgrade social distancing into "Airflow Inaccessible Distancing" code validated by E. coli DH5a spray viable colony counting simulation and the technical validation of COVID-19 Airborne Infection UV Quarantine Devices
Bibliographic record
Abstract
While global attentions focus on COVID-19 immunological solutions, we believe a future possible vaccine will unexceptionally compromise to immunosenescence which will leave those older than 55 years of age inactive to any immobilization. We then validate the UV quarantine system that shielding the UV hurt instead of segregating the contagious agents in an environment validated by 10 6 cell/ml E.coli DH5a spray viable colony simulation. Various experimental designs reveal that the social distancing rule should be upgraded to the "Airflow Inaccessible Distancing"code due to the undetectable small-sized infectious aerosols, saturation secondary infection from various filtering devices & quarantine spaces, and the mixing efficiency of conventional chemical sanitizers. The new code and its integrated COVID-19 Airborne Infection UV quarantine Devices are globally the highest-efficiency systems for stopping COVID-19 from spreading under general social conditions. Portable UVC 253.7nm meters can release the safety concerns for public self-made or commercially available devices. Meanwhile, an acrylic system and relevant methods are developed to validate the performance of UV quarantine devices and conventional masks under real applications. Also, a 33 % placebo infection rate is suggested as the minimum requirement for Phase 3 clinical trials of all medical devices, vaccines, or drugs intended for COVID-19 due to the existence of human respiratory rhyme.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".