Immunization of mice with f88M2e2-16 phages results in robust anti-M2e specific serum IgG responses.
Bibliographic record
Abstract
<p>(A-D) Groups of female BALB/c mice (n = 10 per group) were intraperitoneally vaccinated with antigens in the presence of incomplete Freund’s adjuvant via the intraperitoneal route. Purified phages were administered at 10<sup>10</sup> tetracycline transducing units (f88M2e2-16 and f88ctr groups). As a positive control, one group was immunized with 10 μg M2eHBc per vaccination. A PBS plus adjuvant was included as a negative control. Blood was collected 10 days after priming and each boost injection and serum was prepared and tested in ELISA. (A) Anti-f88 total IgG titration following priming and boosting. (B) Anti-human consensus M2e total IgG following priming and boosting. (C) Anti-human consensus M2e IgG1 and (D) IgG2a endpoint titration following priming and boosting. Endpoint serum IgG titers after the third boost were determined from BALB/c mice that had been immunized with 10<sup>10</sup> tetracycline transducing units of f88ctr, 10<sup>10</sup> tetracycline transducing units f88M2e2-16 or 10 μg of avian M2e-HBc using ELISA plates coated with M2e peptides from different influenza A virus strains: (E) M2e from A/swine/Ontario/42729A/01 (sOnM2e), (F) M2e from A/chicken/HongKong/258/1997 (cHKM2e), (G) M2e from A/chicken/Vietnam/36/2004 (cVNM2e). In A-D error bars represent standard deviations.</p>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.099 | 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 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".