Determination of the pathogenic and non-pathogenic bacteria on stone fruits grown in Northeast Anatolia region of Turkey
Bibliographic record
Abstract
In the present study, bacterial flora were isolated from diseased plant samples obtained from stone fruit species (peach, apricot, plum, prune, cherry, sour cherry and almond) grown in the Northeast Anatolia region of Turkey during 2002–2004. All bacterial strains were identified using conventional and molecular techniques, including morphological, physiological and biochemical tests, fatty acid methyl ester (FAME) analysis and carbon utilization profiles. According to FAME analysis, a total of 365 bacterial strains belonging to 39 genera were identified. Among them, 69 strains of two different species of Pseudomonas were demonstrated to be pathogenic based on the hypersensitive test on tobacco and pathogenicity tests on original host plants including peach, apricot and sour cherry. According to Sherlock Microbial Identification System results, the most common pathogenic bacterial strains were Pseudomonas syringae (94.2%) and Pseudomonas fluorescens (5.8%). According to biochemical test results (LOPAT and GATTa), most of the isolated bacterial strains were identified as Pseudomonas syringae pv. syringae.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".