Modulation of nociception by tricyclic antidepressants in the Speke’s hinge-back tortoise
Bibliographic record
Abstract
Halifax is located in Mi'kma'ki, the ancestral and unceded territory of the Mi'kmaq People, and we acknowledge them as the past, present, and future caretakers of this land. Freemen's Little New York WelcomeOn behalf of the organizing committee and our society's executive, I want to welcome you to Halifax, Nova Scotia for the 32nd Annual Meeting of the Canadian Society for Brain Behaviour and Cognitive Science!This is a special event for all of us as it is the Hirst in-person meeting we have held since 2019.Although there was signiHicant excitement about our return to in-person meetings, it was with some trepidation that we proceeded with the plan to host this one.It was the strong support from you the members and the backing of the executive that encouraged and allowed us to move forward with the plan.We are very excited to host you all here, at the Halifax Convention Centre (HCC), and this promises to be a fantastic meeting.We have (at press time) almost 250 registrants and the program includes:Women in Cognitive Science Canada, satellite meeting Welcome reception (co-sponsored by WiCSC) student-focussed social event 3 keynote events: the Hebb Award lecture by Rob Sutherland the DiLollo Award lecture by Brendan Johns the Executive's symposium 8 symposia (including 44 presentation) 28 talk sessions (including 91 oral presentations) 97 posters a presentation by NSERC that will be combined into our Business Meeting and for those who subscribed, a closing Banquet at the HCC.Conferences involve a lot of work and planning so I am extremely grateful for all the time spent, decisions made, and support given by our local committee, all the members of the CSBBCS executive (especially our webmaster, Evan Curtis; secretary-treasurer, Chris Oriet; and President, Myra Fernandez), judges for the student Hebb prizes and our army of volunteers who have contributed to the success of this meeting.We are also grateful for the sponsorship of the hosting Universities: Dalhousie and Saint Mary's and our corporate sponsors: Brain Vision, Hogrefe, Pearson, S-R Research and VPiix.Thanks and congratulations to Sevda Montakhaby Nodeh of McMaster University for creating the prize-winning logo that you see on the cover of the program and at the conference website.Finally, the success of our meeting depends on the participation of its attendees and the quality and diversity of your scientiHic contributions.Your participation in the meeting is therefore deeply appreciated.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".