Determination of optimal in vitro conditions for camel alternative complement pathway assay
Bibliographic record
Abstract
In a recent issue of the Harvard Review of Psychiatry, results from the Stirling County Study showed that the prevalence and incidence rates of depression were similar in men and women when "gender-fair" criteria were used and help-seeking was not required. We attempted to replicate these findings by applying the criteria for depression from the Stirling County Study to two national and six international epidemiologic surveys conducted in the 1980s and 1990s. Depression was defined as dysphoric mood and disturbances of sleep, appetite, and energy, with at least a mild degree of impairment. The rates of depression were computed using this algorithm with data from the US Epidemiologic Catchment Area Study, conducted in the 1980s, the US National Comorbidity Survey, conducted in the 1990s, and independent community surveys from Canada, Puerto Rico, France, Taiwan, Korea, and New Zealand. For the US studies, these rates were recalculated after persons seeking treatment were removed from the analyses, where such data were available. Using Stirling County Study criteria, the lifetime prevalence rate of depression remains approximately twice as high in women as in men cross-nationally, except in Puerto Rico. Excluding help-seeking as a criterion and controlling for birth cohort do not change the findings. The Stirling County findings on absence of a sex difference in rates of depression using "gender-fair" criteria may be due to methodological variance in the collection of data, sample size, or the social and/or genetic uniqueness of the Atlantic Canadian community.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".