ODEPAINLEVE - A MACSYMA package for painlevé analysis of ordinary differential equations
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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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.166 | 0.203 |
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".