Dataset TB
Bibliographic record
Abstract
This dataset was produced after screening dead and diseased pod borer (Lepidoptera: Noctuidae) larvae collected from Tunisia for native entomopathogenic bacteria. Eight bacteria, named Hr1 to Hr8 were isolated from Helicoverpa armigera Hübner dead and diseased larvae collected from chilli plots belonging to small farmers. The bacterial isolates were characterized by macroscopic and microscopic observations and 16S rRNA sequencing. Hr1, Hr2, Hr4, Hr5, Hr6 and Hr8 were identified as Bacillus sp., Hr3 as Staphylococcus sp., and Hr7 as Enterobacter. Their insecticidal activity was evaluated against third-instar larvae of H. armigera. One bacterial isolate ̶ Hr1 ̶ showed an important insecticidal potential against H. armigera larvae, causing 60% larval mortality after 4 days of treatment. Based on further characterization studies, Hr1 was identified as Bacillus thuringiensis genomovar cytolyticus following macroscopic and microscopic observations, Biolog biochemical test and multi-locus sequence analyses studies based on sequencing of seven housekeeping genes.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.104 | 0.093 |
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".