Mikroobikoosluse analüüsi võimalikkus Eesti jämesoolevähi sõeluuringus kasutatavatest peitvere testi proovidest
Bibliographic record
Abstract
Jämesoolevähk on levinud kõrge suremusega vähivorm, mille varaseks tuvastamiseks viiakse läbi riiklikke sõeluuringuid. Sõeluuringutes kasutatakse peitvere teste, kus patsiendi väljaheitest mõõdetakse peitverd, mis on jämesoolevähi esinemise tunnuseks. Samas on arvukad uuringud näidanud, et jämesoolevähki põdevatel inimeste soole mikroobikooslus erineb tervete inimeste omast märkimisväärselt. Lisaks peitverele võiks mikroobide analüüsimine peitvere testi tuubidest aidata jämesoolevähki varem ja täpsemalt tuvastada. Antud töös püüti välja selgitada, kas peitvere testi tuubidest on võimalik mikroobikoosluse DNAd eraldada ning sekveneerida, kui selle jaoks kasutada modifitseeritud DNA eraldamise protokolli. Katsete käigus selguski, et mikroobse koosluse tuvastamine on peitvere testidest võimalik. Tulevikus oleks vaja katsetesse kaasata suurem valim, et teha statistiliselt olulisi järeldusi.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.014 |
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".