Hubungan antara Ketergantungan Nikotin berdasarkan Fagerstrom Test for Nicotine Dependence (FTND )dengan Gangguan Fungsi Kognitif yang Dinilai dengan MoCA-Ina
Bibliographic record
Abstract
The aim of the study to know correlation between nicotine dependencybased on Fragerstom Test for Nicotine Dependence (FTND) and cognitive impairment that being assessed by MoCA-Ina. This is a cross sectional study was carried out in YARSI University. Consecutive sampling was used as the sampling method taken form academic community as the population. Data was analyzed using Chi-square. Forty-four subjects were enrolled in this study. All of them were being assessed using (FTND) and Montreal Cognitive Assessment Indonesian Version (MoCA-Ina). Thirty subjects were found having cognitiveimpairment with p value 0.045, there is a correlation between nicotine dependency based on FTND and cognitive impairment that being assessed by MoCA-Ina; correspond with receptor disinvitation theory. The result of study can be used by physician in counselling and early detection of cognitive impairment because the number of smokers in Indonesia is still high.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".