ODE Identifiability Class Recall Domain-Anonymized - Nonidentifiable: leaderboard
ODE Identifiability Class Recall Domain-Anonymized - Nonidentifiable: Parameter classification Nonidentifiable (%). 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 Nonidentifiable (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 (High) | 96.61 | #48 (GPT-5.5) |
| 2 | Claude Opus 5 | 96.44 | #20 |
| 3 | GPT-5.5 (Medium) | 94.23 | #48 (GPT-5.5) |
| 4 | GPT-5.5 Instant | 93.87 | #221 |
| 5 | Claude Sonnet 5 | 76.54 | #108 |
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-class-recall-domain-anonymized-nonidentifiable · How It Works · Data refreshed daily, snapshot 2026-11-12.