
Toy dataset for the CODES benchmark (https://github.com/robin-janssen/CODES-Benchmark). A five-species chemical reaction network. Possible reactions:1. A → B 2. B + C ↔ D 3. 2D → E 4. E → A + C 5. C → A Rate equations:dA/dt = -0.5 * A + 0.3 * E + 0.1 * C dB/dt = 0.5 * A - (1.0 * B * C - 0.5 * D) dC/dt = -(1.0 * B * C - 0.5 * D) - 0.1 * C + 0.3 * E dD/dt = (1.0 * B * C - 0.5 * D) - 2 * 0.2 * D**2 dE/dt = 0.2 * D**2 - 0.3 * E 101 timesteps, solved with scipy.integrate.solve_ivp with the DOP853 method (atol = rtol = 1e-6). Initial conditions for each species sobol-sampled (in log space) in the following intervals: A: (0.1, 20) B: (0.1, 20) C: (0.1, 20) D: (1, 30) E: (1, 30) 700/100/200 train/test/val samples.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
