Improved Methods for Motion-Compensating and Event-Related Spinal Functional Magnetic Resonance Imaging (fMRI)
Bibliographic record
Abstract
Of the 225-plus pieces of paper in this manuscript, I can safely say that these acknowledgements will have been the hardest ones to write.It would seem that I am in the rather fortunate predicament of having simply too many wonderful people to thank.Throughout the past five years (and my entire life), I have had the great fortune of being surrounded by an extraordinary group of friends, family and colleagues who have both supported and challenged me.It has certainly been easier for me to stretch myself, knowing that if ever I faltered, surely one of these remarkable people would be there to catch me.First and foremost, I would like to thank my family.I have two of the most loving and supportive parents in the world (Don and Shirley), who have provided me with every opportunity I could have hoped for, and encouraged me to take advantage of them all.Especially throughout the past few years, knowing that both of you have done PhDs has been a constant source of inspiration, and your advice (academic and otherwise) has been tremendously helpful.
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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 | 0.000 | 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 | 0.000 | 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".