ODE Identifiability Complete Domain-Aware - Accuracy: leaderboard
ODE Identifiability Complete Domain-Aware - Accuracy: Parameter classification Accuracy (%). ODE identifiability arXiv 2611.14184v1: 88 scenarios, 696 parameter-level references, ten repeated stateless requests/condition. Exact ASU gateway IDs and completion denominators are pinned in S2 Table. API observations retain gateway identity instead of asserting a provider-pinned backend. Complete six-model comparison S4 stays separate from incomplete exploratory Table 2; Domain-Aware and Domain-Anonymized prompts separate. Accuracy means ten-run percentages. FPR/FNR are false-positive/false-negative rates, lower is better; class recall is higher. GPT thinking medium/high explicit reasoning_effort; other provider defaults unreported.
Metric: Parameter classification Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 Instant | 86.42 | #221 |
| 2 | GPT-5.5 (Medium) | 85.13 | #48 (GPT-5.5) |
| 3 | Gemini 3.5 Flash | 65.22 | #98 |
| 4 | Gemini 3.1 Pro (Preview) | 59.77 | #91 |
| 5 | Claude Sonnet 4.5 | 50.89 | #244 |
| 6 | Claude Opus 4.5 | 49.01 | #152 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=ode-identifiability-complete-domain-aware-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-12.