A Preliminary Feasibility Study of Varenicline for Smoking Cessation in Bipolar Disorder
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image sizeKeywords: bipolar disordersmoking cessationtobaccovareniclinemaniadepression ACKNOWLEDGMENTS This work was supported in part by grants from the Canadian Tobacco Control Research Initiative (CTCRI) and Canadian Institute for Health Research (CIHR) (CTCRI Grant # 20613 and CIHR MOP#115145 to TPG), the Canadian Foundation of Innovation Leading Opportunity Fund (CFI-LOF #19229, to TPG), a research fellowship from the Centre for Addiction and Mental Health (to VCW), the University Chair in Addiction Psychiatry at the University of Toronto (to TPG), and the National Institute on Drug Abuse (grant K12-DA000167 to AHW and K02-DA-016611 and R01-DA-013672 to TPG).
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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".