Additional file 1 of Transgender women in Kenya experience greater stigma, depressive symptoms, alcohol and drug use and risky sexual practices than cis-gendered men who have sex with men
Bibliographic record
Abstract
Additional file 1: Supplemental Table 1. Distribution of characteristics of Transgender women and men who report taking feminizing gender affirming treatments (GAT) compared to Cis-gender men who have sex with men (Cis-MSM), Kenya. Supplemental Table 2. Results of Crude and Multivariable Regressions: Association of Transgender Women (TGW) or Men Taking Feminizing Gender Affirmative Therapy (GAT) Compared to Cis-Gender Men who have Sex with Men (Cis-MSM) in Relation to: Sexual Practices, Stigma, Drug and Alcohol Use, and Depressive Symptoms. Supplemental Table 3. Scales used: performance, alterations. Supplemental Table 4. Distribution individual items from scales of depressive symptoms, alcohol use, drug use, and interpersonal violence, compared between Transgender women and Cis-gender men who have sex with men (Cis-MSM), Kenya.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.355 | 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".