Towards detecting the human immunodeficiency virus (HIV-1) using microcantilever sensors
Bibliographic record
Abstract
In this work, attempts have been made to develop an early HIV virus detector through DNA hybridization. The reason for detecting the genetic materials of the HIV rather than the virus is because HIV is asymptomatic during the first weeks (sometimes months) after an infection. Microcantilever sensors were used in this work to detect the hybridization process. The active microcantilever was functionalized with thiol modified single stranded DNA with the sequence (5’-/ThioMC6-D/ TCT GTA TGT CAT TGE CAG TCC AGC T-3)’. The reference microcantilever was exposed to TE buffer solution. Samples containing complementary sequences were introduced into the microcantilever sensor cell in a constant flow. The microcantilever sensors were able to detect concentrations as low as 0.2 nM. Experiments were also conducted by varying the chain length of the target DNA. A sample consisting of 1497 bases produced from actual HIV RNA was successfully detected at a concentration of 0.2 nM. Based on the deflection signal obtained, it should be possible to detect a sample concentration as low as 0.1 nM without having to modify the current system.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".