Investigation of spintronic materials systems: Deposition and characterization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
All I can hope to do here is give some small fraction of the appreciation due those who have helped carry this burden down the path for five years. I would first like to thank Tom McGill for being the ringleader of this circus, assembling under one tent a group whose like I can only hope in vain to work with again. He provided the means and environment to make this work happen and gave much more than he asked. Thanks to all the members of the SSDP group. Tim Harris kept the locomotive on track and gave moral support at times when it was sorely needed. Gerry Picus provided a lot of encouragement and was a great voice of reason. Bob Beach was one of the first to welcome me and is one of the best guys you can have to help you get started (or keep going). Xavier Cartoixà Solar cheerfully rode herd on us as only the sole theorist in a group of wrenchmonkeys can and showed us the power of multiple windows. Rob Strittmatter was very helpful on both the growth and device sides, and I hate to imagine the lab without him. Justin Brooke, postdoc extraordinaire, brought creativity and enthusiasm to the group and was the catalyst for much of this work. You are missed. Stephan Ichiriu, Master of Optics and Computers and Much Else, has been a great peer and a great help. I wish you the best in your future career. Cory Hill, worked closely and tirelessly with me from the beginning until now and his skill and importance in completing this work cannot be overestimated. He was helpful and dedicated above and beyond any obligation of mere employment. Ed Preisler’s energy, discipline, patience, spirit, and willingness to try new things were invaluable. I learned more than I can say from them. May the 49ers win five (more)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 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 it