Bibliographic record
Abstract
Analysis of some macroscopic models of high-$T_c$ superconductivity by S. Alama and L. Bronsard The effect of distribution in space in Ostwald ripening by N. D. Alikakos and G. Fusco Mathematical problems in the control of underactuated systems by D. Auckly and L. Kapitanski Axially and helically symmetric global plasma equilibria by O. I. Bogoyavlenskij On the complete ionization of a periodically perturbed quantum system by O. Costin, J. L. Lebowitz, and A. Rokhlenko The sine-Gordon model at $\beta = 4\pi$ by J. Dimock Ground states of supersymmetric matrix models by G. M. Graf Some mathematical problems in the Ginzburg-Landau theory of superconductivity by S. J. Gustafson Renormalization in radiation reaction: New developments in classical electron theory by M. K.-H. Kiessling Singular limit of the modified nonlinear Schrodinger equation by C.-K. Lin Dynamics of quantum resonances by M. Merkli Nelson diffusions and blow-up phenomena in solutions of the nonlinear Schrodinger equation with critical power by H. Nawa Embedded solitons of the DSII equation by D. E. Pelinovsky and C. Sulem On the blow up phenomenon for the critical nonlinear Schrodinger equation in 1D by G. Perelman Vorticity for the Ginzburg-Landau model of superconductors in a magnetic field by S. Serfaty Dissipation through dispersion by A. Soffer Quantum tunneling at positive temperature by B. Vasilijevic.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".