Bibliographic record
Abstract
Depression is a complex mental illness that is associ-ated with disability and reduced quality of life forthe person with the disorder; it also poses a sub-stantial societal burden. The prevalence of past-year episodes of depression in the Canadian population has been estimated to vary from 5 % to 8.2 % annually.1,2 In 2005, the Canadian Task Force on Preventive Health Care published a guideline on screening for depression among adults (18 years or older) at average or high risk for depression.3 In 2013, the task force released an updated guideline.4 The sys-tematic review on which this paper is based provided evi-dence for that 2013 update. The World Health Organization (WHO) Psychological Problems in General Health Care study,5 released in 1996, reported that primary care physicians diagnosed major depres-sion in only 42 % of adult patients who had the condition. The potential benefits of screening for depression in adults include
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.726 | 0.454 |
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".