ODEPAINLEVE - A MACSYMA package for painlevé analysis of ordinary differential equations
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
Abstract Title of program: ODEPAINLEVE Catalogue number: AALT Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland (see application form in this issue) Computer: VAX 11/780; Installation: Centre de calcul, Université de Montréal Note: The program is operable on any computer on which MACSYMA is implemented Operating system: VMS Programming language used: REX MACSYMA High speed storage required: approximately 0.5 Mbytes, depending on the equation being analysed No. of ... Title of program: ODEPAINLEVE Catalogue Id: AALT_v1_0 Nature of problem Given a nonlinear ordinary differential equation, the program determines whether it fulfills certain necessary conditions for having the Painleve property, i.e. being free of moving critical points. This information is useful in attempts to integrate the ODE. Versions of this program held in the CPC repository in Mendeley Data AALT_v1_0; ODEPAINLEVE; 10.1016/0010-4655(86)90006-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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