ODE Identifiability Class Recall Domain-Anonymized - Local: leaderboard

ODE Identifiability Class Recall Domain-Anonymized - Local: Parameter classification Local (%). 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 Local (%). Source: arxiv.org. Saturation forecast: Around July 2027. 5 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 546.4#20
2GPT-5.5 (High)44.64#48 (GPT-5.5)
3GPT-5.5 Instant42#221
4GPT-5.5 (Medium)38.8#48 (GPT-5.5)
5Claude Sonnet 522.5#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-local · How It Works · Data refreshed daily, snapshot 2026-11-12.