CHARACTERISTICS OF LOW AND HIGH DISTANCE DRIVERS: FINDINGS FROM THE OZCANDRIVE/CANDRIVE OLDER DRIVER COHORT STUDY
Bibliographic record
Abstract
Using real-world driving data from the Ozcandrive/Candrive older driver cohort studies, this paper investigated whether driving exposure was associated with age, gender and a subset of the annual assessment protocol: Instrumental Activities of Daily Living, MMSE, MoCA, Trail-Making Test, Rapid Pace Walk, Visual Acuity, and psychosocial measures of driving. In-vehicle recording devices within participants’ vehicles recorded their total distance travelled and drivers grouped as low (<5001 km) or high mileage (≥ 15000 km) were compared on all assessments. Preliminary results showed that compared to high mileage drivers, low mileage drivers were more likely to be female, aged 80 and above, reported less independence in activities of daily living, lower daytime driving comfort levels, lower frequency and higher avoidance of challenging driving situations. Findings suggest that older adults who drive low annual mileage are readily distinguishable by their reduced capacity for independent activity, and driving practices suggestive of self-regulation.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".