fn reflexivity_score(t: &Thesis, f: &ExecutionFlow) -> f64 {
        let entropy = 1.0 - t.weightings.values().sum::<f64>().powi(2);
        let diversity = f.chains.len() as f64 / 5.0;
        (t.conviction * f.confidence * diversity) / entropy.max(0.01)
    }

    fn SCIinit(&mut self, new_signals: HashMap<String, f64>) {
        for (k, v) in new_signals {
            self.thesis.weightings.entry(k).and_modify(|w| *w = (*w + v) / 2.0);
        }
        self.score = SCI::reflexivity_score(&self.thesis, &self.flow);
    }
}