Direct Identification of Mycobacteria in Primary Liquid Detection Media by Partial Sequencing of the 65-Kilodalton Heat Shock Protein Gene
Bibliographic record
Abstract
We investigated extending the use of direct partial hsp65 gene sequencing for the identification of mycobacteria to isolates in primary liquid detection media as an economical, feasible, and more rapid means of identification. During the course of the study, the hsp65 sequence-based identifications for isolates from 670 primary liquid detection media determined to be positive for acid-fast bacilli were compared to the identifications derived from Accuprobes, biochemical test panels, or 16S rRNA gene sequencing. Preliminary analysis indicated a 97.6% concordance, with a final agreement of 99.1% between the identification algorithms. hsp65 sequencing costs (32.84 US dollars) were greater than the cost of identification with Accuprobe (9 US dollars) but less than the cost of the biochemical test panel identification (average cost, 98.90 US dollars) and equivalent to the cost of 16S rRNA sequencing, although there was a referral cost (59.85 US dollars) for the shipping of isolates to another reference laboratory. Analysis indicated that our laboratory would have recognized a cost savings of approximately 12,000 US dollars by using hsp65 sequencing to identify isolates from specimens with a negative fluorescent- smear status and would have achieved further savings by using it as an alternative to biochemical panel testing for fluorescent-smear-positive specimens. The time to identification by hsp65 gene sequencing was slightly longer than that required by the Accuprobe assay (1 versus 2 days), shorter than that required by the biochemical test panels (2 days versus 26 days on average), and more rapid than referral for 16S rRNA gene sequencing.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".