Scientia Sinica Informationis Experiment Design
Designs rigorous experimental protocols and evidence-to-claim mappings for papers submitted to Scientia Sinica Informationis (SSI).
The ssi-experiments skill assists researchers in designing, conducting, and presenting publication-grade experiments tailored to the strict peer-review standards of Scientia Sinica Informationis (《中国科学：信息科学》). Covering computer science, control systems, communications, and microelectronics, this skill provides actionable guidelines for aligning claims with proportional evidence, selecting representative benchmarks, running fair comparisons under unified protocols, distinguishing simulation from silicon measurements, and conducting structured ablation studies.
Características Principales
01Tailors experimental paradigms across sub-disciplines including AI, control systems, communications, and EDA/microelectronics
021,090 GitHub stars
03Constructs claim-evidence matrices ensuring every scientific assertion is backed by robust data
04Provides standardized templates for ablation studies to isolate individual component contributions
05Guides rigorous statistical reporting, significance testing, and error margin presentation
06Enforces strict distinctions between numerical simulation, hardware-in-the-loop, and silicon measurements
Casos de Uso
01Preparing experimental evaluation sections and benchmark comparisons for Scientia Sinica Informationis submissions
02Designing ablation experiments and statistical significance tests during paper revision and author response cycles
03Validating claim-to-evidence parity across multi-disciplinary information science manuscripts