EdU-Click on E. coli K12 exposed (or not) to ciprofloxacin
Bibliographic record
Abstract
Overnight cultures of Escherichia coli K12 (ATCC 25404) were used for the following four treatment groups: (1) treatment with EdU and ciprofloxacin, (2) treatment with EdU and without ciprofloxacin, (3) treatment without EdU and with ciprofloxacin, and (4) treatment without EdU and without ciprofloxacin. Groups (3) and (4) were used as gating controls for groups (1) and (2), respectively. All groups were first grown in a total volume of 2 mL rBHI for 1 hour, then 24 µL of the culture was removed and 20 µL of 10mg.mL-1 ciprofloxacin (or vehicle, 0.1 N HCl) and 4 µL of 10 mM EdU or rPBS was added to each well. After ciprofloxacin (or vehicle) treatment, bacteria were incubated anaerobically at 37°C for 3 hours. The bacterial cells were fixed and then underwent a click reaction with Alexa Fluor 647 azide (APC channel) to make newly replicated bacteria fluoresece. They were also stained with Sybr Green I nucleic acid stain (FITC channel) to capture all bacteria. File name key: wEwC = Group (1) treatment with EdU and with ciprofloxacin wEwoC = Group (2) treatment with EdU and without ciprofloxacin woEwC = Group (3) treatment without EdU and with ciprofloxacin woEwC = Group (4) treatment without EdU and without ciprofloxacin
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.028 |
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".