Awareness of and intention to use an online sexually transmitted and blood-borne infection testing service among gay and bisexual men in British Columbia, two years after implementation
Bibliographic record
Abstract
OBJECTIVES: This study assessed gay, bisexual, and other men who have sex with men's (GBMSM) awareness of and intention to use GetCheckedOnline, an online sexually transmitted and blood-borne infection (STBBI) testing service. METHODS: A cross-sectional study was conducted two years after launch among GBMSM > 18 years of age in British Columbia, Canada. Participants were recruited through community venues, clinics, websites, and apps. RESULTS: Of 1272 participants, 32% were aware of GetCheckedOnline. Gay identity, regularly testing at an STBBI clinic, being out to one's healthcare provider, attending GBMSM community venues, and frequent social media use were associated with awareness. Among participants who were aware but had not used GetCheckedOnline, knowing GetCheckedOnline users, using social media, not knowing where else to test, and not wanting to see a doctor were associated with intention to use GetCheckedOnline. CONCLUSION: Early promotion of GetCheckedOnline resulted in greater awareness among those connected to GBMSM.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".