Depresijos ir nerimo įtaka išeminės širdies ligos vystymuisi tarp sergančiųjų stabiliąja krūtinės angina
Bibliographic record
Abstract
Literatūroje tikslinama hipotezė, ar emociniai veiksniai susiję su angliavandenių apykaitos sutrikimais, koronarinės anamnezės trukme, vainikinių arterijų (VA) pažeidimo laipsniu sergantiems išemine širdies liga (IŠL) bei koks jų ryšys su biologiniais, elgesio veiksniais ar socialiniais gyvenimo pokyčiais. Darbo tikslas: Nustatyti emocinių sutrikimų ryšį su stabiliosios krūtinės anginos (SKA) klinikine išraiška. Metodika: Įvertinta 70 ligonių, sergančių SKA, klinikinė būklė (ligos anamnezė, rizikos veiksniai, SKA sunkumo klasė, kairiojo skilvelio sistyolinė funkcija, VA anatominiai pokyčiai), emocinė būsena (depresijos ir nerimo sunkumų tyrimo instrumentas - HAD skalė) bei aleksitimija (Toronto aleksitimjos skalė - TAS20) Statistinė analizė atlikta naudojant SPSS 17.0 programos paketą. [...].
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".